Urban Science doi: 10.3390/urbansci10050255

Authors: Idoia Landa-Oregi Itsaso Gonzalez-Ochoantesana Maite Anaya-Rodríguez Bruce Wilson Marco Amati

Urban greening has transitioned from a supplementary component of urban development to a central element in contemporary planning policies, driven by its recognized environmental, social, and health benefits. This paper explores urban greening processes through the lens of Human-Centered Design (HCD), an approach that emphasizes iterative, participatory, and user-oriented approaches. While public participation in urban planning is traditionally framed through statutory procedures and deliberative models, HCD offers a distinct perspective by treating engagement as a design process aimed at deeply understanding and integrating citizen needs into the process. This study compares two internationally acclaimed cities, Melbourne, Australia, and Vitoria-Gasteiz, Spain, focusing on their urban greening strategies and citizen engagement mechanisms. Using HCD as an analytical framework, the research investigates how socio-political and cultural contexts shape participatory practices, the barriers planners face, and how these impact the effectiveness and sustainability of greening initiatives. The findings underscore the value of HCD in fostering long-term citizen relationships, adapting greening solutions to local contexts, and addressing the methodological gaps in participatory urban design. Ultimately, the paper advocates for a more structured, context-sensitive, and human-centered approach to citizen engagement.

Urban Science doi: 10.3390/urbansci10050254

Authors: Elena Bogan Alexandru-Ionuț Bănescu Florina Tatu Elena Grigore

For the environment and the daily life of urban settlements, in the context of contemporary challenges, severe meteorological events rank second worldwide. Therefore, these events tend to become a real threat to human society and to specific economic activities. The main objective of this study is to analyze the spatio-temporal evolution of severe meteorological events in urban environments and to assess their relationship with atmospheric circulation regimes and urban thermal conditions. The analysis focuses on five types of severe events (significant atmospheric precipitation, hail, strong winds, tornadic structures, and cloud-to-ground lightning) recorded in 11 cities located in the historical region of Muntenia, Romania, over the period 2014–2024. The methodological framework is based on three complementary components. First, a new database was developed by integrating information from multiple sources, including the National Meteorological Administration (ANM), the European Severe Storms Laboratory (ESSL), international databases, and validated media reports, with spatio-temporal filtering and aggregation into synoptic episodes. Second, atmospheric circulation regimes were identified using ECMWF ERA5 reanalysis data, based on geopotential height anomalies at the 500 hPa level, allowing the classification of large-scale synoptic patterns. Third, urban thermal conditions were assessed using the ECMWF CERRA regional reanalysis dataset, which provides high-resolution air temperature data, enabling the analysis of urban–peri-urban thermal contrasts and the estimation of the urban heat island effect. The results highlight a total of 997 severe meteorological events, of which 253 (25.6%) were recorded in the analyzed urban areas, 85 (15.9%) in other towns, and 583 (58.5%) in rural areas. The analysis reveals pronounced interannual and intraseasonal variability, as well as distinct spatial clustering patterns, particularly in urban and peri-urban zones. Among the circulation regimes, the Zonal Regime exhibits the highest event rate, suggesting increased favorability for severe weather occurrence, while other regimes show weaker or even inhibitory effects. In addition, most severe events were associated with positive urban–peri-urban temperature contrasts, indicating an active contribution of the urban heat island effect. By combining observational data, synoptic-scale analysis, and urban-scale thermal assessment, this study provides an integrated regional perspective on severe meteorological events and contributes to the enrichment of data sources in the region, while improving the understanding of their dynamics in urban environments affected by data limitations.

Urban Science doi: 10.3390/urbansci10050253

Authors: William Camilo Enciso-Díaz Carlos Alfonso Zafra-Mejía Amed Bonilla Pérez

Urban growth and climate change intensify urban heat islands (UHIs), altering atmospheric stability and promoting the accumulation of particulate matter ≤ 10 µm (PM10) and particulate matter ≤ 2.5 µm (PM2.5), particularly in high-altitude megacities. However, there remains a scarcity of integrated dynamic models capable of representing these interactions at the intra-urban scale. This study develops a socio-environmental dynamic model to evaluate the influence of UHIs on PM10 and PM2.5 concentrations across localities of a high-altitude Latin American megacity (Bogotá, Colombia). A dynamic simulation model was developed in Vensim®, integrating temperature, PM10, PM2.5, and citizen perception data. Statistical and spatial analyses were conducted to represent intra-urban thermo-atmospheric interactions. The results show that the model captures the influence of UHIs on PM10 and PM2.5 concentrations. Higher PM concentrations are simulated in localities with high imperviousness (PM10: 33.4–50.4 µg/m3; PM2.5: 21.5–25.1 µg/m3) and lower PM concentrations in areas with greater vegetation cover. Sensitivity analysis of the dynamic model reveals nonlinear amplifications of up to 15–20 µg/m3 in PM10 and 8–10 µg/m3 in PM2.5 associated with small thermal variations (1–2 °C). Under scenarios with significant UHI intensity, increases reach 4–6 µg/m3 in PM10 and 3–4 µg/m3 in PM2.5. These findings confirm that UHIs act as amplifiers of pollution and that urban thermal interventions could reduce PM concentrations by up to 10–20%.

Urban Science doi: 10.3390/urbansci10050252

Authors: Angélica Tirado-Lozada Diego Venegas-Vásconez

Assessing carbon footprints has become increasingly important globally as a key tool for quantifying environmental impacts and supporting sustainable decision-making. However, although allegorical floats—central elements of large-scale parades in internationally recognized cultural festivals such as the Rose Parade in Pasadena, USA (RPP), the Rio de Janeiro Carnival, Brazil (RJC), the Black and White Carnival in San Juan de Pasto, Colombia (BWC), and the Fruit and Flower Festival in Ambato, Ecuador (FFF)—represent significant expressions of cultural heritage and artistic creativity, their environmental impact has received limited attention in sustainability research. The primary objective was to quantify the carbon emissions associated with constructing these temporary structures. The methodology integrated geometric surface estimation with carbon accounting principles commonly applied in life-cycle assessment. Emissions were calculated based on the material composition of the structural, covering, and finishing stages, and normalized using two indicators: kilograms of CO2 equivalent (kg CO2e) per square meter of float surface area and kg CO2e per float. Results indicate that emission intensity varies substantially across festivals, with RJC exhibiting the highest value (approximately 9 kg CO2e/m2) due to extensive use of synthetic materials, while BWC demonstrates the lowest intensity (approximately 4.3 kg CO2e/m2) as a result of greater reliance on wood- and paper-based components. When assessed per float, the large scale of RJC structures leads to emissions exceeding 30,000 kg CO2e per float, whereas FFF floats generate less than 1000 kg CO2e due to their smaller dimensions and use of natural materials. This research constitutes the first comparative carbon assessment of allegorical float construction and advances the emerging intersection of cultural heritage studies and environmental sustainability.

Urban Science doi: 10.3390/urbansci10050251

Authors: Manel Mrabet Maha Sliti

Rapid urbanization in Saudi Arabia puts increasing pressure on energy, water, mobility, and waste-management systems, strengthening the need for evidence-based smart-city policy under Vision 2030. Rather than offering a descriptive inventory of projects, this paper develops a verification-oriented framework for assessing smart-city initiatives in the Kingdom. The framework is built on four principles: (i) distinguishing national contextual indicators from city-level evidence, (ii) separating stated ambitions from observed outcomes, (iii) applying an evidence-grading rubric that prioritizes publicly verifiable mechanisms and performance indicators over anecdotal or promotional claims, and (iv) introducing a readiness–impact matrix adapted to Saudi climatic, infrastructural, and institutional conditions. The framework is applied to major Saudi smart-city cases, including NEOM, KAEC, Riyadh, Jeddah, Makkah, and Madinah. The analysis shows that the strongest publicly documented evidence is concentrated in selected sectoral applications, particularly demand response and smart-building control in electricity systems, leak detection and pressure management in water networks, and intelligent traffic management in urban transport. These cases indicate plausible pathways for improving service efficiency and reducing resource waste; however, publicly verifiable city-level outcome data remain limited, fragmented, and uneven across cases. In response, the paper proposes a policy playbook centered on KPI transparency, interoperable data governance, cybersecurity safeguards, and public–private partnership templates to improve the measurability, comparability, and scalability of smart-city outcomes. By formalizing verification and cross-case assessment, the study contributes a reproducible methodological basis for evaluating smart-city progress and prioritizing future investments in Saudi Arabia.

Urban Science doi: 10.3390/urbansci10050250

Authors: Dame Dimitrovski Zoran Markov Simona Domazetovska Markovska Maja Anachkova Nikola Manev

Urban air pollution in Skopje, a city with complex topography, is strongly influenced by traffic emissions, household heating, industrial activities, and meteorological conditions, leading to pronounced spatial and seasonal variability. The objective of this study is to assess the contribution of major urban emission sources to air quality in Skopje, with a focus on traffic pollution, and to quantify their seasonal influence on NO2, PM10, and PM2.5 concentrations using a high-resolution urban dispersion modelling approach. The methodology is based on the ADMS-Urban dispersion modelling system, integrating traffic activity data as line sources, together with area sources representing household heating, point sources representing industrial facilities, and seasonally representative meteorological data. Model performance was evaluated through comparison with measurements from official urban monitoring stations. The results show that the model successfully reproduces the observed spatial gradients and seasonal trends of NO2, PM10, and PM2.5 concentrations across the urban area. Source contribution analysis indicates that household heating dominates particulate matter pollution throughout the year, while traffic and industrial combustion are the main contributors to NO2. The isolated traffic contribution exhibits clear seasonal variability, with the highest concentrations occurring during winter due to reduced atmospheric dispersion and increased traffic-related emissions. The model is primarily suitable for assessing spatial patterns and relative source contributions rather than accurate prediction of absolute concentration levels, due to the use of aggregated Tier 1 emission factors. The study confirms that physically based urban dispersion modelling provides a robust framework for identifying pollution hotspots, quantifying traffic contributions, and supporting targeted air quality management strategies in Skopje.

Urban Science doi: 10.3390/urbansci10050249

Authors: Md Imtiaz Ahmad Rachita Klinmalee Helena Corvacho Franklin Gaspar Paulo Conceição Sara Cruz Luísa Batista Cecília Rocha Fernando Alves Anabela Salgueiro Narciso Ribeiro Rui Jorge Garcia Ramos Gisela Lameira Ana Martins Ana S. Fernandes Joel Bruno da Silva Teodora Figueiredo Luís Midão Leovaldo Alcântara Inês Mimoso Elísio Costa

Amid growing concerns over global warming, ensuring the outdoor thermal comfort (OTC) of public urban spaces is crucial for creating liveable and resilient cities. This study focused on the intensification of the urban heat island (UHI) effect and the heat stress experienced by the vulnerable older population. Evidence was found through the case study in a highly vulnerable area of Porto, with a high ageing ratio. The primary aim was to assess the influence of design-based adaptation strategies on OTC using ENVI-met, with a specific focus on older adults. Thermal stress was evaluated using the Physiological Equivalent Temperature (PET) index. The analysis confirms that older adults consistently experience higher PET values (+2–5 °C) and larger areas of thermal discomfort than active-age adults. Simulations reveal that the effectiveness of adaptation measures depends on the characteristics of the urban space but enhanced green infrastructure achieves the most significant heat mitigation results. Artificial shading only provides localized thermal relief. Cool pavements contribute meaningfully by lowering surface heat storage and reducing longwave radiation. However, their impact on PET, beneficial or detrimental, depends significantly on the morphology of the outdoor space and the materials used. In the analysed street canyon, PET was higher in the central hours of the day for both age ranges, when the pavement material had a higher albedo. An effective heat mitigation needs a combination of vegetation-based strategies and climate-responsive materials to ensure comfortable and age-inclusive public spaces. This research presents an actionable methodological approach for evaluating and enhancing OTC, advocating the use of microclimate simulations in a carefully selected set of public spaces within an intervention urban area to define effective climate adaptation measures for each space.

Urban Science doi: 10.3390/urbansci10050248

Authors: Evaldas Ramanauskas Arūnas Bukantis Liucijus Dringelis Giedrius Kaveckis Gintė Jonkutė-Vilkė

At the global level, as well as in Lithuania, the risks associated with climate change and other emerging threats—such as war, radiation, and pandemics—are increasing, and adequate preparedness is necessary to avoid their negative consequences. Despite international and other strategic efforts to assess emerging threats, preparedness to adapt to them and to mitigate their impacts remains insufficient. Considering the insufficient level of preparedness of the country’s cities to cope with these threats, this article introduces a new, sustainable element of urban structure—a comprehensive territorial structural unit capable of functioning under adverse and hazardous conditions. The formation of this new urban complex is based on three core sustainability principles—social, ecological, and economic—alongside international and national urban planning experience. The newly proposed sustainable urban structural complex consists of a group of blocks with diverse building types bounded perimetrically by urban public transport streets connecting the complex with other urban areas. For the functionality of the complex, a structural element—a green core—is envisaged in its central part, intended to serve residents through recreation, social interaction, civil security, and other functions. Due to its functional characteristics, structure, autonomy, capacity to integrate with other urban structures, and other properties, this urban complex closely resembles a biological cell; thus, for semantic clarity, it is termed an urbocell (urban cell). This urbocell is integrated into the urban fabric of residential districts and the entire city, forming a sustainable spatial and urban structure suitable for safe living, working, and recreation. The article models potential structural elements of the urbocell—namely, selected urban block morphotypes—using the computational tool Autodesk Forma, the results of which may support more informed urban planning decisions for developing a more sustainable and climate-resilient urban environment.

Urban Science doi: 10.3390/urbansci10050247

Authors: Maria Cieśla Artur Budzyński

The rapid growth of e-commerce has significantly increased direct-to-consumer deliveries, putting competitive and environmental pressure on urban last-mile logistics. Out-of-home (OOH) delivery options, particularly parcel lockers, are increasingly integrated into city mobility strategies to reduce congestion and emissions. However, the role of mobile applications front-ending these networks remains under-researched. This study aims to evaluate the user experience (UX) and functional adequacy across three major parcel-locker apps in Poland: InPost Mobile, DPD Mobile, and ORLEN Paczka. A cross-sectional, mixed-methods approach combining in situ corridor testing and structured post-task questionnaires was employed with 30 users at real locker locations in Katowice. The results indicate that interface simplicity, predictable information flow, and technical stability are the dimensions most consistently associated with higher user ratings. InPost Mobile consistently achieved the highest ratings due to its focus on core workflows, whereas applications emphasizing broader functional coverage (ORLEN Paczka) exhibited usability trade-offs, and DPD Mobile underperformed in speed and stability. Because the study relied on a small convenience sample (n = 30) in a single city and was skewed toward younger adults (18–24), the findings should be interpreted as exploratory and primarily reflective of a digitally proficient demographic rather than the broader user population.

Urban Science doi: 10.3390/urbansci10050246

Authors: Daniel Macek

Sustainable urban development depends not only on efficient design and construction but also on the long-term governance of built assets during their operational phase. However, Building Information Modeling (BIM) is still predominantly applied to design and delivery processes, with limited integration into structured maintenance and renewal planning. This study develops a BIM-enabled lifecycle governance methodology that integrates lifecycle cost modeling, service-life estimation, and time-based renewal scheduling into a unified digital asset environment. Rather than proposing a new theoretical model, the study focuses on the systematic integration and operationalization of these components into a reproducible and auditable workflow. The methodology is validated through an anonymized multi-asset industrial portfolio comprising buildings, technical infrastructure, and external works, modeled over a 30-year planning horizon using structured maintenance and renewal data. Comparative scenario analysis between reactive and planned lifecycle strategies evaluates expenditure distribution, capital concentration, and intervention synchronization. The results demonstrate that embedding structured lifecycle parameters within BIM improves the predictability of annual expenditures, reduces cost concentration in peak renewal years, and enhances transparency of long-term asset planning without significantly altering cumulative lifecycle costs. These outcomes support more structured financial planning and coordination of maintenance and renewal activities at the portfolio level. The study does not quantify environmental or social sustainability impacts; its contribution lies in providing a governance-oriented methodology that transforms BIM-based asset data into decision-support outputs for long-term lifecycle planning.

Urban Science doi: 10.3390/urbansci10050245

Authors: Jesús Duarte Javier Romero Diego Rodríguez Miguel Ángel Farfán

The presence of wild species in urban areas is becoming increasingly common. In southern Spain, species such as wild boar cause significant damage and problems in human-dominated environments, such as peri-urban areas, sports facilities, and urban parks. Here, we used camera trapping to monitor the entry rates of ungulates (wild boar and red deer) into three golf courses located in urban areas in southern Spain. The courses are surrounded by hunting estates and other non-urban areas where species are controlled through lethal methods. Wild boars are controlled year-round, and red deer are controlled during specific hunting periods. We tested for differences during periods of normal human activity and periods of the COVID lockdown using generalised linear mixed models. We controlled ungulate raids for 2639 trapping nights, obtaining 1093 wild boar and 225 red deer independent events. During the COVID lockdown, wild boar raids on golf courses decreased significantly. Meanwhile, equivalent deer raids increased significantly during the hunting period. The results indicate that certain urban areas where control by firearms is not permitted—such as golf courses—can function as safe zones for wild species. This reserve effect is related to the structure of the urban habitat and the resources it offers in terms of security and food.

Urban Science doi: 10.3390/urbansci10050244

Authors: Soha Aliakbari Alessio Russo

Urban forestry research increasingly promotes proximity-based benchmarks, such as the 3–30–300 rule, to expand tree canopy, enhance access to nature, and support healthier and more climate-resilient cities. However, a growing body of evidence links green proximity to rising property values and residential displacement, raising concerns regarding green gentrification. These tensions suggest that proximity-based greening cannot be understood solely as an environmental or accessibility intervention; rather, its social outcomes are mediated by the broader housing system. This Perspective argues that the 3–30–300 rule operates as a value-generating urban forestry intervention whose distributive effects are conditioned by housing governance, tenure structures, and the presence of affordability protections. We advance a governance-conditional framework that reconceptualises the rule as a housing-conditioned greening strategy, illustrating how environmental improvements may translate into escalating housing costs and displacement pressures in contexts where housing regulation is weak or fragmented. The analysis highlights the institutional mechanisms through which environmental value is captured, retained, or redistributed across scales, without positing a deterministic relationship between greening and displacement. Aligning urban forestry initiatives with affordability measures and tenant protections is therefore essential if proximity-based greening is to contribute not only to greener and healthier cities, but also to more equitable ones.

Urban Science doi: 10.3390/urbansci10050243

Authors: Maciej Kozłowski Andrzej Czerepicki

This article draws on public opinion surveys conducted as part of the AV-PL-ROAD project, “Polish Road to Automation of Road Transport”. Although selected findings from this survey material were published in 2023, the earlier study was limited to descriptive statistical analysis. The present paper re-examines the same empirical dataset through a different analytical framework focused on latent-structure reconstruction, using a different analytical framework focused on latent-structure reconstruction, providing a more structured and informative interpretation of perceptions of autonomous vehicles in Poland. The study combines within-respondent standardization, Principal Component Analysis (PCA), and k-means clustering to identify the dominant dimensions of perception and recurring perception profiles, complemented by qualitative insights from focus group interviews (FGI) used to support interpretation. The results indicate that perceptions of autonomous vehicles are not one-dimensional, but are organized around three main axes: systemic benefits versus implementation barriers, technological trust and information security, and regulatory-ethical readiness linked to deployment conditions. The analysis also reveals four recurring perception profiles that do not map directly onto simple demographic divisions and are better understood in relation to operational and institutional context. In addition, statistically significant differences between clusters were confirmed using nonparametric tests (Kruskal–Wallis with Dunn–Šidák post hoc analysis). The main contribution of the paper is methodological: it illustrates that previously analyzed survey data can yield structurally informative insights, including the identification of latent dimensions, perception profiles, and statistically significant differences between clusters when reinterpreted through a latent-space approach rather than conventional descriptive methods. The findings provide additional evidence on the social and institutional conditions of transport automation in Poland and provide a more robust analytical basis for future mobility policy and implementation strategies.

Urban Science doi: 10.3390/urbansci10050240

Authors: Lana Sarakot Asaad Salahaddin Yasin Baper

Urban heat stress is a growing challenge in hot semi-arid cities, where neighbourhood urban design influences microclimate and outdoor comfort. This study evaluates the effect of neighbourhood spatial layout in Erbil city, using ENVI-met simulations. Five neighbourhoods with varying layouts were modelled under standardized conditions, including uniform building height, surface characteristics, and meteorological forcing. Hourly outputs of air temperature, relative humidity, wind speed, surface temperature, mean radiant temperature, universal thermal climate index, and sky view factor were analyzed after excluding the spin-up period. Results indicate that, while all neighbourhoods exhibited similar diurnal timing of thermal extremes, a key distinctive finding is the identification of a neighbourhood that behaves differently across seasons. The Pavilion neighbourhood remained cooler during summer conditions, while maintaining warmer thermal conditions during winter. This dual seasonal behaviour contrasts with the other neighbourhoods, which generally exhibit a trade-off between reduced summer heat stress and winter cooling. The Pavilion neighbourhood is distinguished by the presence of integrated water lagoons, suggesting that the blue infrastructure, in combination with spatial openness and greenery, can moderate thermal extremes. Overall, the study highlights the importance of neighbourhood-scale spatial design in mitigating urban heat and provides evidence to support the development of sustainable neighbourhoods.

Urban Science doi: 10.3390/urbansci10050242

Authors: Sungjoon Kim Hyungkyoo Kim

The redevelopment of aging planned cities in South Korea presents a significant carbon dilemma, balancing long-term operational savings against the immediate impact of embodied emissions from new construction. This study addresses this challenge by systematically identifying and prioritizing carbon reduction measures applicable across the entire building life cycle for this specific urban context. Following a comprehensive literature and case study review that produced an initial list of 28 measures, an expert panel of 21 South Korean professionals from academia, public, and private sectors was convened to evaluate their practical applicability and importance. The analysis yielded a final, prioritized framework of 23 measures. Experts strongly endorsed measures related to improving building envelope performance and enhancing energy efficiency, highlighting their immediate impact and feasibility. Conversely, several renewable energy systems and sustainable construction methods were rated lower, primarily due to concerns over high costs, low public acceptance, and prevailing technical constraints. By moving beyond a simple inventory to a prioritized, evidence-based framework, this research provides a clear and actionable guide for policymakers to make strategic decisions for low-carbon urban transformation.

Urban Science doi: 10.3390/urbansci10050241

Authors: Boglárka Eisinger Balassa Minje Choi Jonna C. Baquillas Réka Koteczki

Advanced Driver Assistance Systems (ADAS) are increasingly shaping urban mobility and road safety, yet their benefits depend not only on technical performance, but also on driver acceptance. This study examines how Hungarian drivers perceive and evaluate key ADAS functions, Adaptive Cruise Control (ACC), Lane Keeping/Centering Assist (LKA/LCA), and Forward Cross Traffic Alert (FCTA), in urban driving contexts. The research is based on qualitative focus group discussions conducted in Győr, Hungary, involving drivers aged 20–50 from different age cohorts. Data were analyzed using thematic analysis. The findings show that the acceptance of ADAS is strongly context-dependent and function specific. ACC was perceived primarily as a comfort-enhancing tool, especially on longer or more monotonous routes, while LCA was often regarded intrusive and less reliable in urban conditions due to poor road markings, potholes, and frequent stop-and-go situations. On the contrary, blind spot and cross-traffic-related functions were evaluated more positively due to their direct safety benefits. Trust, perceived risk, and control emerged as key dimensions of acceptance, with many participants emphasising the importance of warning-based support rather than a strong autonomous intervention. In general, the study concludes that urban acceptance of ADAS is shaped by the interaction of infrastructure conditions, perceived usefulness, and driver trust, highlighting the need for more transparent, context sensitive, and user-centered system design in support of safer urban mobility.

Urban Science doi: 10.3390/urbansci10050238

Authors: Mohammed Mashary Alnaim Mashary Abdullah Alnaim

Modern architectural heritage is increasingly threatened by rapid urban transformation, yet documentation practices often remain descriptive and insufficiently aligned with governance decision-making processes. This article addresses the gap between heritage documentation and regulatory readiness by proposing the Modern Heritage Documentation Protocol (MHDP), a governance-oriented framework that transforms documentation into decision-grade evidence. The protocol integrates a structured evidence taxonomy and a staged documentation workflow that links architectural documentation to heritage governance requirements, including designation review, conservation planning, and adaptive reuse decisions. The framework was tested through demonstrator applications across three modern architectural heritage cases to evaluate its operational applicability within real documentation workflows. The results show that structured evidence capture and synthesis can convert fragmented heritage information into coherent documentation that supports governance decisions in rapidly transforming urban environments. By reframing documentation as a governance-oriented process, the proposed framework contributes to more effective heritage management and supports the integration of modern architectural heritage within sustainable urban development strategies.

Urban Science doi: 10.3390/urbansci10050239

Authors: Mahlomola Phala Ntombifuthi Precious Nzimande Sifiso Xulu

Illegal waste dumping (IWD) remains a major challenge for many developing municipalities, contributing to environmental degradation, public health risks, and socio-economic burdens. This study aims to assess the environmental, health, and socio-economic impacts of IWD and to examine the influence of socio-demographic variables (gender, education, age, and income) on perceived impacts. Primary data was collected through a quantitative survey of 381 participants from the Thabazimbi Local Municipality. The Mann–Whitney test was used to compare perceived IWD impacts between gender groups, and the Kruskal–Wallis test was used to compare perceived IWD impacts across education, age, and income groups. The results showed strong agreement (>80%) on the perceived environmental health and socio-economic impacts of IWD, indicating that IWD is a universal challenge across the municipality. Moreover, the statistical analysis revealed that income and education groups differed in their perceived environmental and socio-economic impacts (p < 0.05), respectively, although the differences were minimal across the impact statements. The study provides valuable insights by integrating environmental, health, and socio-economic effects of IWD across various socio-demographic groups. In doing so, municipalities can develop more sustainable waste management systems that reduce IWD and support broader sustainability objectives, including environmental protection, public health improvement, and socio-economic development.

Urban Science doi: 10.3390/urbansci10050237

Authors: Sana Ajjoul Adil Zabadi Ayyoub Sbihi Hind Lamrani Danielle Nel-Sanders Brahim Benzougagh Maryam Mazouz

Rapid urbanization combined with global climate change is intensifying the Surface Urban Heat Island (SUHI) effect worldwide, posing significant risks to human health, thermal comfort, and quality of life in cities. Characterized by notably higher temperatures in urban areas compared to their rural surroundings, the SUHI phenomenon is driven by factors such as increased built-up density and reduced vegetation cover. In this context, open-source remote sensing data, particularly from the Landsat satellite series, play a crucial role in studying surface urban heat islands. Available freely, Landsat’s multispectral and thermal imagery provides extensive spatial coverage and consistent temporal frequency, enabling long-term diachronic analyses. This study leverages a 40-year time series (1984–2024) of Landsat thermal data to map surface temperature variations in urban environments between Kenitra and Rabat cities, facilitating the identification of heat-excess zones linked to anthropogenic factors. Based on the results obtained, the LU/LC maps show that the study area is characterized by the notable growth of urbanization over the period 1984–2024, particularly in the dynamic poles of the region such as the city centers of Kénitra, Rabat, and Sale. This dynamic is highlighted by an increase from 1.8% to 3% in the total area of the region, accompanied by a remarkable decrease in agricultural land and bare soils. The evaluation of the Random Forest (RF) model’s performance also indicates that it successfully classified the data and predicted the LU/LC classes effectively, as confirmed by metric indices such as the Receiver Operating Characteristic curve and the Kappa index, which present very high average values exceeding 90%. Furthermore, the exploitation of the thermal bands of Landsat images provided relevant information on surface temperature variation. The SUHI maps show that the Rabat-Sale-Kenitra (RSK) region experienced a progressive increase in temperature over the study period, rising from 27 °C in 1984 to 44 °C in 2024. This value could increase further due to the continuous dynamics of urbanization. Together, these tools provide a robust framework for understanding the spatiotemporal dynamics of surface urban heat islands and support sustainable urban planning.

Urban Science doi: 10.3390/urbansci10050236

Authors: Xinxian Yin Shengjing Xu Peng Cui Xingling Shao Xuan Liu Siyuan Zhang

Under China’s carbon peaking and carbon neutrality goals, building-integrated photovoltaics (BIPV) are a key option for low-carbon urban transition. However, how urban morphology shapes effective PV potential in severe cold cities remains poorly understood. Previous work focuses on single buildings or citywide resource mapping and rarely yields actionable planning controls. Using Harbin as a case, this study integrates GIS with explainable machine learning to relate building-cluster morphology to effective PV generation potential. An XGBoost model is interpreted with SHAP and partial dependence analysis to quantify factor importance and response ranges. Building density (BD) and floor area ratio (FAR) are the dominant predictors, ranking above the other morphological indicators. PV density peaks at moderate BD (≈0.20–0.35) under medium-to-high development intensity, and it increases when building distribution is moderately even (NNI ≈ 1.3–1.5) with moderate height differentiation. These coupled responses define a Morphological Sweet Spot, indicating that higher PV performance depends on coordinated morphological configurations rather than on any single parameter. The framework provides an interpretable, data-driven basis for building-cluster BIPV assessment and for translating model outputs into morphology-based planning guidance for low-carbon renewal in severe cold regions.

Urban Science doi: 10.3390/urbansci10050235

Authors: Tímea Žolobaničová Zuzana Vinczeová Roberta Štěpánková Attila Tóth

Urban emptiness is a recurring spatial condition across contemporary cities, resulting from long-term planning decisions, functional transformations, and shifting socio-economic dynamics. Urban voids are often interpreted as signs of failure or neglect; however, they also represent flexible and open-ended spaces embedded within everyday urban environments. This study develops and tests the Adaptive Void Assessment Framework (AVAF), a five-dimensional typological instrument applied to n = 33 urban voids identified through a systematic grid-based field survey (100 × 100 m resolution) in the central urban zone of Nitra, Slovakia (March 2025–January 2026). The framework evaluates sites across nine indicators spanning openness, social appropriation, ecological succession, temporal persistence, and institutional flexibility, yielding composite Adaptivity Index scores and four dominant adaptive regimes. The findings demonstrate that 34% of identified voids function in a socially active regime while 14% exhibit ecological dominance, with a moderate positive correlation identified between temporal persistence and adaptive capacity (r = 0.46, p < 0.05). This challenges conventional deficit-based classifications and reframes urban voids as active components of the urban metabolism capable of enhancing ecological connectivity and spatial flexibility within post-industrial urban landscapes. This reframes urban voids from residual outcomes of urbanization to spaces with potential for green integration within sustainable contemporary cities.

Urban Science doi: 10.3390/urbansci10050234

Authors: Mengran Guan Fangxin Cheng

Shared pilot-scale bases enhance organizational efficiency and improve the success rate of transformation by leveraging spatial proximity among innovation actors, serving as a critical bridge between laboratory R&D and industrialization in biomedicine. Unlike the dominant models in mature markets such as Europe and the United States, which rely on in-house R&D by leading firms or marketized outsourcing, China has developed a government-guided, regionally adapted model of shared pilot-scale bases. This study refines the classification of innovation actors within innovation ecosystem theory and aims to reveal the spatial agglomeration patterns of these actors within shared pilot-based ecosystems and identify the dominant forces within them. Our analysis reveals that: (1) Shared pilot-scale bases anchor themselves in regions of high innovation concentration, representing government-guided agglomerations of diverse innovation actors. (2) Influenced by variations in local economic foundations, innovation resources, and policies, the innovation networks of shared pilot bases in different cities exhibit both functional and morphological similarities and differences. (3) Strategic placement around leading enterprises can rapidly steer regional innovation gradients and foster industrial aggregation through pilot-scale activities. This study can provide a theoretical basis for spatial policymaking in China’s biomedical industry and offer a typological reference for the layout of pilot-scale platforms within heterogeneous innovation ecosystems globally.

Urban Science doi: 10.3390/urbansci10050233

Authors: Nenad Ruškić Andrea Kovačević Valentina Mirović Jelena Mitrović Simić

Large retail developments act as strong trip attractors and can substantially alter traffic demand patterns at adjacent urban intersections. This paper analyzes the operational impacts of a major shopping center on two nearby signalized intersections in Novi Sad, Serbia, and evaluates the effects of reconstructing one of them into a turbo roundabout. Traffic data collected before and after the shopping center opening, as well as before and after the intersection reconstruction, were analyzed using calibrated and validated microsimulation models. Results indicate that peak-hour traffic volumes increased by 8.38% and 6.96% at the analyzed intersections following the shopping center opening, leading to increased delays and operational stress under fixed signal control, particularly under unbalanced turning demands. The conversion of the three-leg signalized intersection into a turbo roundabout resulted in substantial reductions in average delay and improvements in level of service under identical traffic demand conditions, mainly due to the elimination of left-turn signal phases and reduced conflict interactions. The findings confirm that turbo roundabouts can provide significant operational benefits in dense urban environments characterized by strong directional flows; however, their effectiveness is highly context-dependent and influenced by traffic composition and geometric constraints. The results are interpreted as representative of typical weekday peak conditions, acknowledging data and temporal limitations.

Urban Science doi: 10.3390/urbansci10050232

Authors: Dissakoon Chonsalasin Thanapong Champahom Nilubon Wirotthitiyawong Sajjakaj Jomnonkwao Rattanaporn Kasemsri Buratin Khampirat Vatanavongs Ratanavaraha

Electric vehicle (EV) adoption remains critically low in Thailand despite government initiatives, with limited understanding of how adoption factors vary across different user segments. This study investigates the determinants of EV adoption intentions across three distinct groups—internal combustion engine (ICE) users, hybrid electric vehicle (HEV/PHEV) users, and current EV users—to develop targeted adoption strategies. Data were collected from 3794 Thai vehicle users through on-site administered questionnaires and analyzed using multi-group structural equation modeling, integrating the Technology Acceptance Model, Theory of Planned Behavior, and environmental psychology constructs. Results reveal significant differences in adoption pathways across groups: ICE users show the strongest sensitivity to perceived ease of use, indicating technology apprehension as the primary barrier; HEV/PHEV users demonstrate transitional characteristics with the highest experience-usefulness relationship, while current EV users exhibit stronger influence from environmental identity and social norms. All 14 hypotheses were supported, though with varying effect magnitudes across groups. Surprisingly, the attitude-intention relationship was consistently weak across all segments, suggesting unmeasured cultural or contextual factors. This study contributes the first empirical evidence of segmented adoption patterns in an emerging market, revealing a progression pathway from technology-focused concerns (ICE) through balanced considerations (HEV/PHEV) to identity-driven adoption (EV). Findings provide actionable insights for policymakers to design segment-specific interventions: technology familiarization for ICE users, transition facilitation for hybrid users, and community-building for EV users.

Urban Science doi: 10.3390/urbansci10050231

Authors: Meihong Ke Huiran Xie Xu Chen Bin Cheng

Urban innovation spaces are crucial to stimulate innovative thinking and facilitate the integration of science, technology, and humanities. On the one hand, existing research on urban innovation spaces focuses on spatial patterns, associated networks, and spillover effects. They are limited to the macro scale and lack of innovation subject perspective. On the other hand, few studies have explored factors influencing the distribution by examining the needs of innovative talent. This study aimed to identify the evolution mechanism of urban innovation spaces. In total, 36,519 high-tech enterprises in Guangzhou from 2008 to 2023 were selected to represent urban innovation spaces. Spatial analysis methods and statistical methods were employed to investigate the spatiotemporal dynamic characteristics. Furthermore, employing multiscale geographically weighted regression, the study identifies multiple factors influencing the development of innovation spaces from the dual perspectives of the innovation environment and services. The results indicated that characterized by a southeast-northwest orientation, the urban innovation spaces of Guangzhou have displayed an apparent point–axis–face structural evolution, expanding from the central district into sparsely distributed in the suburbs. The factors influencing the distribution of urban innovation spaces, ranked by their degree of impact, were as follows: vehicle carrying, research institutions, public park, living convenience, university resources, business hotel, industrial structure height, and metro station. These findings facilitated the understanding of urban innovation space development and grasped the influencing factors and their functioning mechanisms. They provided references for innovation space planning amidst urban stock development.

Urban Science doi: 10.3390/urbansci10050230

Authors: Xing Wang Maosu Wang Ziyu Wang Heyueyang Li Muyun Du Cuiyan Zhang Chenlong Yuan Chengyu Zhang Huiting Lv

Winter road snow significantly alters surface friction conditions and traffic capacity, serving as a critical factor contributing to traffic accidents, congestion, and temporary traffic control measures. Compared with sparsely deployed road sensors and labor-intensive field inspections, traffic surveillance cameras offer advantages such as dense spatial coverage, low deployment cost, and continuous observation capability, providing a feasible solution for segment-level winter road condition monitoring. To meet traffic management needs, this study categorizes the impact of road snow on passability into four classes: Clear, Light, Medium, and Heavy. A road snow coverage dataset containing 10,498 images under complex traffic scenarios was constructed and has been publicly released. Furthermore, nine representative deep learning models were systematically evaluated to compare their recognition performance and applicability for this task. Experimental results show that all models achieved over 89% classification accuracy on the test set. To further examine cross-regional generalization capability, 48 surveillance cameras from Canada and Norway were selected for real-world validation. Among all models, Swin Transformer achieved the highest accuracy of 81.2% under complex lighting conditions and varying viewpoints, demonstrating superior stability and transferability. The findings provide quantitative guidance for model selection and engineering deployment of camera-based winter road monitoring systems.

Urban Science doi: 10.3390/urbansci10050229

Authors: Beatriz Martínez-Miranzo Alejandro López-García Ana Payo-Payo José I. Aguirre Eva Banda

In urban areas, green spaces have become the main refuge for biodiversity, providing essential habitat and resources for urban-adapted species. However, scientific evidence on the fitness consequences of urban green space management for urban populations remains scarce, limiting our ability to design successful conservation and management strategies. Here, we assess the fitness consequences of different levels of management practices in green spaces (i.e., high for areas with continuous intervention such as regular mowing and irrigation, and low for areas with minimal, sporadic maintenance) based on a 19-year long-term monitoring of the Eurasian Tree Sparrow (Passer montanus), a species with high behavioural plasticity in response to human-altered habitats. We formulated a unistate capture–mark–recapture model to estimate age-dependent survival while accounting for uncertainty in recapture probability. Furthermore, by means of GLMMs, we tested if the level of management influences reproductive parameters (i.e., breeding failure, number of eggs, nestlings, fledglings, brood number from the same year, breeding success). We found that high urban green space management caused a decline in adult survival, but we found no effect on juvenile survival. We also found lower breeding failure, a greater number of eggs, and larger brood numbers in the low management areas, but no differences were found in the number of nestlings and fledglings. Consequently, we found no differences in overall breeding success. Our results highlight the reduction in survival in a near-threatened passerine species due to routine green urban space management, in addition to differences in reproductive parameters depending on the degree of green urban space management. Overall, we confirm that the same species show several reproductive strategies with different breeding effort to reach similar breeding success, whatever the human context is. However, birds pay the cost in adult survival, and probably in shortening life span. Therefore, the management of urban green spaces has a negative impact on biodiversity in cities. It is necessary to review the management practices of these urban areas and promote practices that are friendly to biodiversity.

Urban Science doi: 10.3390/urbansci10050228

Authors: Lakhdar Saidane Ghani Boudersa Atef Ahriz Soufiane Fezzai Mohamed Elhadi Matallah

This study investigates the rapid, often uncontrolled urban expansion in Khenchela, a medium-sized city in Algeria’s eastern High Plains, and its profound environmental repercussions amid semi-arid fragility. Drawing on sustainable urban development and resilience frameworks, it dissects pressures such as green space reduction (from 45 ha in 1998 to 33 ha in 2023, dropping per capita from 6.1 m2 to 3 m2 below WHO standards), water scarcity with 35% leakage losses waste mismanagement, informal settlements on hazardous lands, air/soil pollution, and climate vulnerabilities like heat waves and flooding. Employing a mixed-methods approach documentary analysis of (MPLUUP, LUP and MDP) plans, GIS cartography of spatial evolution (2000–2025), statistical demographics, field observations, and institutional critiques, the research exposes governance gaps: fragmented coordination, weak ecological integration, and resource shortages. It reveals socio-spatial disparities across functional zones, underscoring the need for adaptive, participatory strategies that promote polycentric and compact urban forms, enhanced biodiversity, efficient infrastructure, and inclusive governance to strengthen urban resilience.

Urban Science doi: 10.3390/urbansci10050227

Authors: Suyang Sun Tao Wang Xianming Wu

This study employs panel data for 275 Chinese cities from 2011 to 2021. Water use efficiency is measured as an aggregate city-level indicator via stochastic frontier analysis, while the level of digital economy development is quantified using principal component analysis. We then employ the system generalized method of moments to investigate the causal relationship between the digital economy and urban water use efficiency, and further identify industrial structure upgrading as the mediating role through which the digital economy affects water efficiency. The main findings are as follows: (1) The digital economy has a significant positive impact on urban water use efficiency. (2) Regional heterogeneity analysis shows that the digital economy presents a stronger positive effect on water use efficiency in eastern regions than in central and western regions. (3) Exploratory mechanism analysis indicates that industrial structure upgrading serves as the mediating role through which the digital economy improves urban water use efficiency. Based on the empirical findings, this paper draws targeted policy implications.

Urban Science doi: 10.3390/urbansci10050225

Authors: Biserka Mitrović Jelena Marić Ranka Gajić

Greening, as a concept, is becoming an essential component of contemporary urban planning worldwide, and universities have begun adopting green policies. While there are numerous studies on climate change, green infrastructure, ecology, and sustainability in planning practice, limited scientific research explores how these concepts are embedded within the educational landscape. This paper aims to develop a methodological framework for mapping the “educational greenscape” by evaluating three levels of higher education in a top-down manner: (01) university, (02) faculty, and (03) subject. The research methodology relies on: an extensive literature review and content analysis; a multi-level case study of the University of Belgrade, focusing on an expert survey based on the European University Association framework; curriculum content evaluation at the Faculty of Architecture, using predefined keywords; and the identification of green interventions and their implementation within the subject “Sustainable Territorial Development,” at the Faculty of Architecture. The specific findings indicate that green activities at the institutional level lack resources, communication, and governance. At the faculty level, there is an apparent need for a more even distribution of green urban planning approaches across different faculty courses. However, subject-level assessment showed the successful implementation of the green urban planning concept into teaching and learning methodologies, with it showing transformative potential and providing a universally applicable methodological framework for mapping the educational greenscape.

Urban Science doi: 10.3390/urbansci10050226

Authors: Chao Li John Gibson

China’s rapid economic growth is partly due to the productivity gains from agglomeration, whereby firms and workers in larger and denser cities benefit from proximity through knowledge spillovers, thicker labor markets, and shared infrastructure. This study examines the changing nature and location of agglomeration economies in China using resident-based measures of urban scale from the 2000, 2010, and 2020 population censuses. Chinese “cities” are administrative jurisdictions that contain both dense urban districts and lower-density counties, so the agglomeration elasticities are estimated separately for districts and counties for a balanced panel of 298 prefectural jurisdictions. Agglomeration economies occur only in urban districts, while coefficients on urban scale for counties and county-level cities are close to zero or significantly negative. Moreover, district-level elasticities decline over time, from 0.24 in 2000 to 0.15 in 2020, assuming no feedback from productivity to urban scale. Allowing for such feedback, the temporal decline is even greater, from 0.24 in 2000 to 0.08 in 2020. However, urban growth is shifting increasingly toward counties rather than districts, foregoing the potential agglomeration effects. Changes in location of construction workers also shows this dispersed urban growth. Hence, recent urban growth is increasingly in locations without agglomeration benefits.

Urban Science doi: 10.3390/urbansci10050224

Authors: Lara Alshawawreh

As urbanization continues to reshape societies, the concept of child-friendly cities (CFCs) has emerged as a rights-based approach to support the well-being of children in urban environments, particularly as increasing numbers of children grow up in rapidly expanding cities. While international frameworks provide general guidance, effective implementation requires contextual adaptation. Despite Jordan’s commitment to the Convention on the Rights of the Child, limited research has examined how CFC principles translate into urban policy and practice. This study explores the conceptualization of CFCs in the Jordanian context by identifying and prioritizing key stakeholders, urban features, barriers, and evaluation indicators. A structured Delphi methodology consisting of iterative rounds was used to gather cross-sectoral expert perspectives and establish areas of consensus. The findings reveal disparities in resources and efforts across governorates and cities while highlighting the recognized role of municipalities and local governments alongside a limited acknowledgement of non-traditional actors such as media. Prioritized features emphasize clean and climate-responsive environments, while funding limitations were identified as a major constraint and child safety as the most critical indicator. This study provides a consensus-based reference for understanding the key dimensions of CFCs in Jordan and contributes to the discussion on localizing CFC frameworks.

Urban Science doi: 10.3390/urbansci10050223

Authors: Maasago Mercy Sepadi Timothy Hutton

Background: Informal Street food vending plays a vital role in urban food systems by supporting livelihoods and improving access to affordable meals. Despite this contribution, persistent food hygiene and safety challenges continue to threaten public health and business sustainability. Existing research largely frames hygiene as a regulatory compliance issue, with limited empirical attention to how hygiene practices are associated with enterprise performance. Guided by the Health Belief Model (HBM) and the Balanced Scorecard (BSC), this study examined the relationship between food hygiene and safety practices, behavioural compliance, and business sustainability among informal food vendors. Methods: A cross-sectional mixed-methods design was used, combining vendor interviews (n = 30) and structured stall observations (n = 30). Quantitative data were analysed using descriptive and inferential statistics. Qualitative data were thematically analysed. Results: Only 50% of vendors held a valid Certificate of Acceptability (COA), despite 83% reporting prior inspections. Vendors operating for over seven years were significantly more likely to be certified (χ2 = 8.23, p = 0.005), and certification was strongly associated with regulatory awareness (χ2 = 16.12, p < 0.001). Although 70% reported awareness and 77% prior hygiene training, gaps persisted in sanitation, pest control, and consistent hygiene practices. Compliance was significantly associated with gender and education level (p < 0.05), as well as business duration and inspection history. Female vendors and those with at least secondary education were more likely to practice good hygiene, including the use of protective gear (χ2 = 13.89, p = 0.008) and regular handwashing. Hygiene practices were also significantly linked to sustainability indicators aligned with Balanced Scorecard domains, including staffing levels, income categories, and operational duration (p < 0.05). Vendors employing more staff reported higher income, and visibly hygienic practices were associated with customer loyalty and repeat purchases, highlighting hygiene as both a public health requirement and a driver of business sustainability. Conclusions: The findings indicate that hygiene functions not only as a public health requirement but also as a strategic business asset. Integrating behavioural drivers with performance metrics offers a practical framework for designing interventions that strengthen both public health protection and the sustainability of informal enterprises.

Urban Science doi: 10.3390/urbansci10050222

Authors: Chia-Yuan Yu

This cross-sectional study explored whether the relationship between adolescents’ physical activity and related factors (such as personal and social factors, and parental safety concern) differed according to adolescents’ levels of access to play spaces. Data from Wave 3 of the Growing Up in Ireland (GUI) national longitudinal study, a nationally representative sample of 5212 adolescents aged 17–18 years, was analyzed. Key study variables included adolescents’ physical activity, personal factors (gender, health status, parents’ education and physical activity levels, and active commuting), social factors (number of friends, family support), and parental safety concerns (perceived safety of walking/playing and neighborhood safety). Two structural equation models (SEMs) were employed to compare relationships among physical activity and related factors for adolescents with high and low access to play spaces. Results showed that adolescents living in areas with high access to play spaces reported significantly higher levels of physical activity. Parents’ levels of education and the number of friends available for play had significant impacts on adolescents’ physical activity, regardless of access to play spaces. However, parental perception of the safety of walking and playing was only significant for adolescents with low access to parks. The associations between related factors and adolescents’ levels of physical activity differed for those with high and low access to play spaces, suggesting that interventions promoting adolescents’ physical activity may not yield equal results across these groups. A key limitation of this study is its cross-sectional design and reliance on self-reported measures, which preclude causal inference.

Urban Science doi: 10.3390/urbansci10050221

Authors: Gurkan Guney

Unused, underutilized, abandoned, and residual urban spaces are increasingly recognized as potential resources for adaptive reuse, ecological improvement, and urban resilience. In this study, such areas are approached through the overarching concept of waste space, a term that captures both their underutilized condition and their transformation potential. While existing research has largely focused on the definition, classification, and emergence of such spaces, their potential for transformation across varying spatial and institutional contexts has received comparatively limited attention. Addressing this gap, this study operationalizes selected social–ecological system (SES) dynamics through spatial analysis in the metropolitan area of İzmir, Türkiye, offering a proxy-based assessment of transformation capacity rather than a direct transformation. Using district-level analysis across ten metropolitan districts, this research combines typological and morphological classification of waste spaces with four spatial indicators: the Density Index, Location Quotient, Shannon Diversity Index, and Typology Dominance Index. The results show that waste spaces are unevenly distributed across İzmir and form distinct district-level configurations shaped by infrastructure expansion, post-industrial transformation, speculative vacancy, and fragmented urban growth. This study concludes that waste spaces cannot be addressed through a uniform regeneration logic. By linking SES dynamics with measurable spatial indicators, the proposed framework offers a context-sensitive, proxy-based basis for indicating transformation capacity of waste spaces and supporting district-specific planning and policy decisions.

Urban Science doi: 10.3390/urbansci10050220

Authors: Marija Opačak Eror

The concentration of tourist flows along short urban links caused by cruise stops in medium-sized Mediterranean ports exacerbates traffic and localized environmental externalities. This study evaluates the willingness to pay (WTP) of cruise passengers for an electric tram that would connect the Gaženica Port with Zadar’s historic center, an intervention designed to cut travel time and reduce on-street congestion and emissions. Over the course of two seasons, a two-wave, two-site, in-person survey was conducted at the port and in the city center. The instrument adopts a double-bounded dichotomous choice (DBDC) contingent valuation design with randomized starting bids that were calibrated using a pre-test that benchmarked prevailing transport pricing. Primary WTP estimates are obtained from a binary choice model with socio-demographic and environmental covariates; whereby inference relies on cluster-robust errors. Robustness is assessed through three complementary checks that do not require additional data: (i) a bivariate specification to account for within-respondent correlation between first and follow-up bids; (ii) Turnbull nonparametric bounds for the interval-censored WTP distribution; and (iii) starting-point tests using split-sample estimation and bid-set indicators. A spike adjustment based on “no–no at the lowest bid” responses is explored where appropriate. Beyond its methodological contribution, this research advances the sustainable tourism development discourse by quantifying visitors’ financial support for low-emission urban mobility infrastructure that mitigates environmental stresses while preserving residential life quality. The results integrate cruise tourist management with the more general goals of resilient and sustainable urban destinations by offering a decision-ready value input for port-city mobility planning in historic Mediterranean centers.

Urban Science doi: 10.3390/urbansci10040219

Authors: Liang Fang Feng Yang Maoxuan Xu Junli Nie

The rapid inspection of urban road hazards, such as subsurface voids and pipeline damage, demands high efficiency and precision in detection technology. Conventional Ground Penetrating Radar (GPR) systems often face limitations in urban environments, including slow survey speeds, poor channel scalability, and the trade-off between shallow resolution and deep penetration. The proposed system integrates a dual-band antenna array (200 MHz and 400 MHz) to resolve the classical resolution–penetration trade-off, simultaneously capturing high-resolution shallow data and achieving deep subsurface penetration in a single pass. To overcome the sampling rate bottleneck inherent in low-cost microcontrollers, a custom Time-Division Step Multiplexing (TDSM) protocol extends the equivalent sampling period to 0.38 µs across 24 parallel channels while maintaining a 200 kHz pulse repetition rate—enabling real-time data streaming at vehicle speeds up to 70 km/h with 5 cm trace spacing. This capability directly addresses the critical challenge of traffic disruption on urban arterials caused by conventional slow-speed GPR surveys. Complementing this, a master-slave FPGA-MCU hierarchical architecture provides seamless channel scalability from 24 to 36 channels, adapting to diverse swath width requirements without hardware redesign. Laboratory physics model experiments demonstrate a penetration depth exceeding 3 m after convolutional sparse fusion of the dual-band data, covering the typical burial depth of urban utilities. This study provides a deployable high-resolution underground detection solution for rapid urban infrastructure surveys and emergency disease detection by breaking the traditional constraints of channel number, sampling rate, and detection speed, significantly reducing interference with urban main traffic.

Urban Science doi: 10.3390/urbansci10040218

Authors: Riyan Mohammad Sahahiri Abdullah Alattas Ahmad Fallatah Ammar Mandourah

Designing sustainable pedestrian infrastructure in hyper-arid cultural landscapes requires balancing visitor experience, heritage protection, and environmental constraints. This study develops a statistically grounded model for planning sustainable walking trails in Al-Ula, Saudi Arabia, using multi-spectral remote sensing data integrated with expert-based evaluation. A GIS-based Multi-Criteria Decision-Making (MCDM) framework was applied to assess topographic slope, vegetation cover (NDVI), built-up density (NDBI), Land Surface Temperature (LST), and solar exposure. Indicator weights were validated through a three-round Delphi survey involving fifteen experts. The results indicate strong consensus among experts, identifying LST (21%) and slope (20%) as the most influential determinants of trail suitability in desert environments. These findings highlight the critical role of thermal stress in shaping safe and sustainable pedestrian mobility in hot climates. The optimized 44.5 km trail network, classified into three difficulty levels, improves energetic efficiency by reducing caloric expenditure by 24% compared to conventional routing. In addition, the proposed network has the potential to reduce carbon emissions associated with heritage-related travel by approximately 75% through modal shift from vehicles to walking. The framework provides a practical decision-support tool for planners seeking to develop low-carbon, climate-responsive tourism infrastructure aligned with the objectives of Saudi Arabia’s Vision 2030.

Urban Science doi: 10.3390/urbansci10040217

Authors: Niki Boyce Charles Symons Holly Carter Arnab Majumdar

This systematic review examines the effect of pre-incident information on public preparedness prior to an emergency or disaster. Preparing members of the public for adverse events can improve self-sufficiency and improve health outcomes, particularly during periods when emergency responders are not immediately available. Twenty-three studies were identified, addressing both natural and human-influenced events. All the studies investigated pre-incident training targeting members of the public rather than specialist responders. The synthesis considered training content, delivery approaches and evaluation methods. The studies included preparation, personal safety, triage, first aid and evacuation in scenarios involving terrorism, fire, earthquake, flood and CBRN events. Pre-incident education generally improves knowledge and intention to act, with higher-intensity and interactive training yielding greater engagement and response. Due to the difficulty of simulating emergencies and disasters, several studies used self-reporting and hypothetical testing, while others attempted to create real-life scenarios. The immediate effects of pre-incident education were generally positive, although many studies tested outcomes theoretically or within a classroom environment. It was also noted that few studies considered retention over the medium to long term; this is a concern as temporal decay may reduce preparedness. This review provides a basis for continued development of public-facing pre-incident education to increase resilience to both terrorist attacks and natural disasters.

Urban Science doi: 10.3390/urbansci10040216

Authors: George Koumparakis Ethymios Bakogiannis Angelos Siolas

Port cities represent an interdependent system in which port and urban activities overlap and develop. While ports serve as the gateway for the city, expanding market reach and attracting investments, cities provide the necessary labor and services required for the operation of the ports. However, the mutual relationship between ports and cities is threatened by conflicts such as urban sprawl, which leads to friction by taking the space needed for storing containers at ports. Similarly, ports generate high noise and air pollution, threatening the quality of life in urban centers. Therefore, implementing best practices to manage the port–city dichotomy is essential to ensure the coexistence of the port and city. This study re-examined the port–city relationship in the framework of urban planning to guide redevelopment decisions within the Piraeus city port in Greece. Data were collected through a mixed-methods approach involving secondary research and roundtable discussions. The findings showed that a key design parameter of the Piraeus city port is the development and exploitation of the city’s relationship with water, from a functional, spatial, and aesthetic point of view. Furthermore, a guide was developed to facilitate the redevelopment of the city port and improve decision-making. The recommendations also emphasize the integration of the port city into a global economic forum and highlight its dynamism, ensuring mutual benefits for the city and port.

Urban Science doi: 10.3390/urbansci10040215

Authors: Lorenzo Brocchini Antonio Pratelli Saša Ahac Maja Ahac Marjana Petrović Luka Novačko Reginald Souleyrette Teng Wang

This paper presents a comparative analysis of unconventional roundabouts, commonly referred to as third-generation roundabouts, based on case studies from the United States and Europe, specifically Croatia and Italy. These intersection designs deviate from traditional circular geometries to overcome limitations in safety, capacity, and spatial integration, especially in constrained or high-demand environments. The study focuses on three major typologies: raindrop, turbo, and two-geometry roundabouts (TGRs), examining their geometric characteristics, operational principles, and context-specific implementations. Based on real-world examples and qualitative assessments, each national section investigates design rationale and performance considerations in relation to local traffic dynamics. The paper contributes to the understanding of adaptive and context-sensitive intersection design, offering a conceptual framework for comparing unconventional roundabout typologies across different regulatory environments. The comparative analysis reveals that each typology responds to specific operational and spatial constraints rather than representing a universally optimal solution. In particular, raindrop and dog-bone roundabouts are most effective in interchange contexts, turbo roundabouts enhance safety and capacity in regulated multilane environments, while TGRs provide greater adaptability in constrained and irregular urban settings. These findings highlight the importance of context-dependent design strategies and support the need for flexible and context-sensitive evaluation frameworks.

Urban Science doi: 10.3390/urbansci10040214

Authors: Khoren Mkhitaryan Susanna Karapetyan Amalya Manukyan Anna Sanamyan Tatevik Mkrtchyan

Cities are increasingly expected to achieve environmentally sustainable outcomes while simultaneously adapting to rapid technological transformation and growing governance complexity. However, sustainability performance in urban systems cannot be explained by technological infrastructure alone. Institutional capacity and algorithmic governance capabilities play a critical role in shaping coherent environmental policy implementation and green urban performance, particularly in transition city contexts. This study proposes the ISAG-G Governance Framework (Institutional and Smart Algorithmic Governance for Green Performance), a governance-oriented analytical framework designed to assess green urban governance capacity. The framework integrates four governance dimensions: institutional governance capacity, algorithmic and digital governance enablement, green urban governance performance, and citizen sustainability interaction. Methodologically, the study develops a composite governance index based on a structured indicator system. Indicator weights are determined using the Best–Worst Method (BWM) through expert consultation, while Min–Max normalization and weighted aggregation are applied to construct the composite index. The framework is empirically applied through a comparative analysis of five transition municipalities (evidence from Armenia) representing different levels of administrative capacity and urban development. The findings reveal distinct governance profiles across municipalities and highlight the importance of institutional coherence and algorithmic governance capacity in shaping green urban performance. By moving beyond infrastructure-centric approaches, the proposed framework provides both an analytical and policy-oriented tool for evaluating urban sustainability governance in transition city contexts.

Urban Science doi: 10.3390/urbansci10040212

Authors: Hanaa ZainEldin Tamer Ahmed Farrag Shymaa G. Eladl Malik Almaliki Mahmoud Badawy Mostafa A. Elhosseini

Unauthorized occupation of parking spaces designated for individuals with disabilities remains a persistent challenge in urban environments, limiting accessibility and inclusive mobility. This paper proposes an integrated UAV-assisted enforcement framework that combines drone-based imaging, onboard license plate recognition (LPR), IoT connectivity, and a staged optimization strategy for energy-aware surveillance. The framework employs a two-phase approach: first, it derives energy-efficient UAV activation patterns via sleep–active scheduling, followed by coverage maximization under energy constraints. The inherently multi-objective problem—balancing energy consumption, coverage, and redundancy—is addressed via a weighted-aggregation formulation, enabling efficient optimization with classical metaheuristic algorithms. Seven algorithms—Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Ant Colony Optimization (ACO), Differential Evolution (DE), Artificial Bee Colony (ABC), and a Greedy baseline—are implemented in both conventional and staged variants to enable comprehensive evaluation. Experimental results demonstrate 32–45% reductions in energy consumption, over 95% coverage effectiveness, and 50–60% faster convergence compared to single-phase approaches, with all improvements statistically significant (p < 0.001). The proposed framework provides a scalable, practically deployable solution for intelligent enforcement of disability parking regulations while also enabling energy-efficient UAV coordination in smart urban monitoring systems.

Urban Science doi: 10.3390/urbansci10040213

Authors: Michael W. Mehaffy Tigran Haas Ryan Locke

Urban heritage structures are most commonly understood as memorial artifacts, tourism assets, or redevelopment resources. While this common view acknowledges cultural and economic value, it overlooks a deeper function of heritage within the long evolution of human settlements. This paper advances a counter thesis: in addition to its historic contingencies and power relationships—which are real, but only part of the picture—urban heritage embodies valuable but often hidden intelligence that is highly relevant to contemporary urban challenges. Specifically, heritage environments encode useful structured information about spatial configurations that have gained adaptive value over time in a process known as stigmergy. Drawing on complexity science, network theory, the mathematics of symmetry, and theories of extended cognition, the paper argues that enduring urban forms persist not only for symbolic or historical reasons, but because they embed structural properties conducive to resilience, legibility, social interaction, climatic adaptation, and human well-being. Recurring characteristics include fine-grained network connectivity, fractal scaling hierarchies, organized symmetry, articulated thresholds, and biophilic integration. Evidence from environmental psychology, public health, and urban morphology suggests that such properties correlate with reduced stress, increased walkability, stronger social capital, and improved ecological performance. The paper proposes a methodological framework—what we call the Adaptive Patterns Model—for identifying, evaluating, and translating this embedded intelligence into contemporary regeneration practice. The Model is presented as a four-phase, conceptually synthesized framework—integrating insights from complexity science and stigmergy, urban morphological analysis, and pattern-language methodology—comprising documentation, pattern extraction, encoding, and performance correlation. It concludes by challenging a still-prevalent assumption that contemporary conditions invalidate accumulated spatial knowledge. Instead, urban heritage is understood as adaptive capital within an ongoing evolutionary process, offering a structurally grounded foundation for resilient urban transformation.

Urban Science doi: 10.3390/urbansci10040211

Authors: Niks Stafeckis Maris Berzins

Urban shrinkage, driven by demographic and socioeconomic changes, has become a pressing issue across Europe, particularly in small peripheral towns and semi-urban settlements that have historically relied on a single industry or company. This study investigates the demographic and socioeconomic factors contributing to the multi-dimensional decline, encompassing population loss, economic contraction, and deteriorating socioeconomic conditions in Latvian mono-towns, thereby filling a void in empirical research on urban development in post-socialist contexts. Principal component analysis (PCA) was applied to a set of key demographic and socioeconomic indicators derived from census and administrative data to identify the principal dimensions that drive urban shrinkage. The analysis reveals three principal components explaining 87% of the variance: socioeconomic vitality (57.1%), population change and peripherality (17.2%), and aging society dynamics (12.6%). The results contribute to a nuanced understanding of how mono-functional urban contexts shape the intensity and character of shrinkage. These results establish a basis for specific policy measures designed to promote resilience in small-settlement settings and contribute to the understanding of spatial planning and regional development approaches in the post-socialist urban transition context. This research underscores the need for context-specific approaches to address the multifaceted challenges of urban shrinkage.

Urban Science doi: 10.3390/urbansci10040210

Authors: Stelian Dimitrov Martin Iliev Bilyana Borisova Stefan Petrov Ivo Ihtimanski Leonid Todorov Ivan Ivanov Stoyan Valchev Kristian Georgiev

Urban rooftop photovoltaic systems represent a substantial yet still underutilized renewable energy resource, particularly in high-density residential environments. Accurate large-scale assessment of rooftop solar potential, however, remains challenging due to the complex geometry of urban morphology and the limited availability of high-resolution geospatial data. This study presents a large-scale methodological framework for estimating the theoretical photovoltaic potential of urban rooftop spaces using Unmanned Aerial System (UAS)-based digital photogrammetry and GIS-based spatial analysis. The approach integrates centimeter-resolution Digital Surface Models (DSMs) and orthophotos derived from fixed-wing UAS surveys with detailed rooftop vectorization and solar radiation modeling implemented in a GIS environment. The methodology accounts for rooftop geometry, surface orientation, slope, shading effects, and rooftop-mounted obstacles. The methodology consists of data collection of high-resolution RGB imagery suitable for detailed three-dimensional reconstruction. The images are captured with a UAS equipped with a S.O.D.A. 3D photogrammetric camera, creating a dense, georeferenced three-dimensional point cloud based on UAS imagery. Based on the point cloud, a high-resolution Digital Surface Model (DSM) was produced. Rooftop boundaries and rooftop-mounted structures were digitized on the basis of an orthophoto created from UAS imagery. The analysis workflow consists of solar modeling using ArcGIS Pro, including calculating the solar radiation. The next methodological step is to filter low radiation rooftops, steep slopes, and northern-oriented rooftops. Finally, we calculate the potential electricity production. The framework was applied to high-density residential districts in Sofia, Bulgaria, dominated by prefabricated panel buildings with predominantly flat rooftops. Drone applications in such studies are typically restricted to modeling individual roofs, which severely limits their scalability for district-wide evaluations. To overcome this, the study employs a specialized fixed-wing UAS uniquely certified for legal operations over densely populated urban environments. This platform rapidly maps large territories, ensuring consistent lighting and shading conditions that significantly enhance the accuracy of subsequent rooftop digitization. Furthermore, the resulting centimeter-level precision enables the exact vectorization of micro-rooftop obstacles. Capturing these intricate details is a critical innovation that effectively prevents the overestimation of solar energy potential commonly observed in conventional large-scale models. Solar radiation was modeled at the pixel level for a full annual cycle and filtered using photovoltaic suitability criteria, including minimum annual radiation thresholds, slope, and aspect constraints. Theoretical electricity production was subsequently estimated using zonal statistics and system performance parameters representative of contemporary photovoltaic installations. The results indicate a total theoretical annual electricity potential of approximately 76.7 GWh for the analyzed rooftop spaces, with an average production of about 34 MWh per rooftop and pronounced spatial variability driven by rooftop geometry and exposure conditions. The findings demonstrate the significant renewable energy potential embedded in existing urban rooftop infrastructure and highlight the applicability of UAS-based photogrammetry for high-resolution, large-area solar potential assessments. The proposed framework provides actionable information for urban energy planning, municipal solar cadaster development, and the strategic integration of photovoltaic systems into dense urban environments, particularly in regions lacking open-access high-resolution geospatial datasets.

Urban Science doi: 10.3390/urbansci10040209

Authors: Ari-Veikko Anttiroiko

Urban regeneration has traditionally focused on large-scale developments that aim at increasing the livability and vitality of disadvantaged areas. Alternative views of urban regeneration have emerged to challenge such a structural approach. These novel ideas reflect contextual changes in progressive and innovative Western countries that embrace the culture of experimentation, prefer sharing to ownership, and emphasize participation and inclusion as fundamental aspects of public governance. This article elaborates the idea of lean urban regeneration in the progressive welfare society context, with a special view of citizen and stakeholder involvement through inclusion, sharing, and co-creation. Empirical research utilizes mini cases of the largest cities in the growth triangle of Finland. This article identifies the manifestations of lean urban regeneration and discusses its preconditions and ability to tackle urban development challenges. The results emphasize the framing nature of inclusion, the underutilization of sharing, and the key role of co-creation in lean urban regeneration. A particular potential of lean interventions is based on co-creation as the core of multimodal or hybrid regenerative projects that are firmly anchored on economic inclusion. By utilizing the input of residents, entrepreneurs, and other local stakeholders, it is possible to open up a path to integrated high-leverage activities with a potential to alleviate structural urban problems.

Urban Science doi: 10.3390/urbansci10040208

Authors: Fatemeh Noorizadehsalout Amirhossein Vaziri

We estimate the causal impact of a high-frequency bus upgrade on neighborhood labor-market outcomes using the August 2019 launch of Pace’s Pulse Milwaukee Line in the Chicago region. We use public data-Pace GTFS schedules (stops/headways), ACS tract-level socioeconomic measures, and LEHD/LODES workplace counts. Using this database, we build a tract-level panel combining annual workplace employment outcomes with multi-year household outcomes, and then we implement a transparent difference-in-differences design that compares tracts within 0.5 miles of new Pulse stops to a 0.5–2 mile control ring before and after service begins. We find no detectable short-run effects, but we estimate a positive and economically sizable increase in workplace jobs per resident (0.066;≈14% of the pre-treatment mean). Under conventional tract-clustered inference, this estimate is marginal (p = 0.073); thus, we interpret it as suggestive rather than definitive evidence. Our results are highly robust. Event-study estimates show flat pre-trends and post-treatment gains persisting into years +1 and +2; our placebo corridors yield null effects; and our buffer-width tests show monotonic strengthening. Finally, our population-weighted estimates remain positive, though smaller. To conclude, the results suggest that frequency improvements can reallocate jobs toward upgraded corridors even when resident employment and incomes do not move immediately. Our results may highlight a likely sequencing of impacts and the potential need for complementary land-use and workforce policies to translate accessibility gains into household-level benefits.

Urban Science doi: 10.3390/urbansci10040207

Authors: Boutayna Nakhili Mohamed Chikhaoui Younes Hmimsa Mustapha El Janati Ihssan El Ouadi Ibtissam Medarhri Fatiha Hakimi

Casablanca, Morocco’s most populous and economically dynamic metropolis, is undergoing rapid and unregulated expansion, leading to accelerated agricultural land artificialization, landscape fragmentation, and growing socio-environmental vulnerability in peri-urban territories. This study investigates the spatio-temporal dynamics of urban expansion within a 40 km buffer around the city, using multi-temporal Landsat imagery (2015–2025), a GIS-based framework, and supervised classification. Four land-cover classes were extracted (urban, vegetation, forest and water) enabling a diachronic comparison of land transformation processes. Two spatial indicators were mobilized to quantify urban dynamics: the Average Urban Expansion Rate (AUER) and the Urban Expansion Intensity Index (UEII). Results reveal that urban areas expanded by up to 387.9% in some communes, with 15 exceeding an AUER of 25% and 17 falling within the “very high development” category based on UEII thresholds. Land artificialization was most intense along southern and southeastern peripheries, notably Deroua, Tit Mellil, Had Soualem, and Sidi Moussa Ben Ali, resulting in severe fragmentation of agricultural land. The classification of communes into four profiles (fast, slow, consolidated, and stable) highlights varying degrees of territorial vulnerability. By integrating demographic trends (2014–2024), the study exposes mismatches between population growth and land consumption, underscoring the urgent need for integrated spatial diagnostics and governance reforms toward sustainable peri-urban land management.

Urban Science doi: 10.3390/urbansci10040206

Authors: Ziad Hunaiti Sultan Alotaibi Zayed Ali Huneiti Wamadeva Balachandran

Kuwait faces mounting challenges in municipal solid waste (MSW) management alongside continued dependence on fossil-fuel-based electricity generation. Per capita waste generation in Kuwait is approximately 1.7 kg/person/day, exceeding the global average of 0.74 kg/person/day, indicating substantial potential for resource recovery and energy conversion. This study evaluates public perceptions of waste-to-energy (WtE) in Kuwait’s residential sector and estimates the potential electricity that could be generated from household waste. A structured online household survey (n = 470) was administered to assess socio-demographic characteristics and key perception constructs, including awareness, perceived risks, perceived benefits, and overall attitudes toward WtE. In parallel, a quantitative estimation was undertaken using literature-based parameters for monthly per capita waste generation and electricity consumption to derive household-level waste quantities, corresponding energy potential, and generated-to-consumed energy ratios. Survey findings indicate generally favourable attitudes toward WtE and recognition of its potential to reduce landfill dependence and contribute to electricity supply, although respondents showed stronger support for locating WtE facilities away from residential neighbourhoods. Perceived risks—particularly related to health and environmental impacts—remained salient, while perceived benefits associated with waste reduction and local economic value were also acknowledged. The technical assessment indicates that higher waste generation increases theoretical energy recovery potential; however, high residential electricity demand reduces the relative contribution of WtE, with a generated-to-consumed energy ratio of approximately 2, compared with a global benchmark ratio of 4.1. This study highlights the need for targeted public engagement, improved source segregation, and more detailed Kuwait-specific technical and economic evaluations to support evidence-based WtE policy and investment decisions.

Urban Science doi: 10.3390/urbansci10040205

Authors: Ángel Ruiz-Valero Ángel Enrique Salvo-Tierra Jaime Francisco Pereña-Ortiz

To advance the Sustainable Development Goals, it is essential to correct imbalances in how the benefits of urban trees are distributed across different demographic and socioeconomic groups. Environmental justice studies have frequently overlooked assumptions regarding the data-generating process and have not considered spatial confounding. This oversight potentially misestimates patterns of inequity. This study evaluates the sensitivity of inequity to model assumptions using urban tree inventories from Málaga and Sevilla and Bayesian hierarchical models. City-level differences dominated the inequity patterns, and model specification influenced the magnitude, precision, and credibility of estimated effects, though directionality remained consistent. Patterns were highly consistent across the four ecosystem services, indicating that model assumptions affected all services equivalently. Málaga and Seville exhibited divergent inequity patterns, indicating that local urban context mediates these relationships. In Seville, inequity patterns were inconsistent with the luxury hypothesis and occurred primarily across age-based demographic strata, whereas in Málaga they manifested predominantly along ethnicity, with weaker evidence of income inequities. We advocate for explicitly modeling spatial data-generating processes and comparing conventional versus confounding-mitigated approaches. This city-specific rigor is essential for urban planners to prevent resource misallocation, ensuring that tree-planting strategies address genuine inequities rather than methodological biases.

Urban Science doi: 10.3390/urbansci10040204

Authors: Erzsébet Kristóf Tímea Kalmár

In the last two decades, the utilization of solar energy has been growing rapidly worldwide, mainly due to the increasing adoption of photovoltaic (PV) systems. Since solar energy is one of the most weather-dependent renewable energy sources, an increasing number of meteorological studies have focused on PV potential (PVpot) and its projected changes under global warming. GCM outputs disseminated through the Coupled Model Intercomparison Project (CMIP) are often applied in energy-related urban climate studies, as they can be downscaled either statistically or dynamically. It is essential to evaluate raw (not bias-corrected) GCM data, which helps to determine the uncertainties in the GCM simulations before downscaling. Despite their coarse resolution, some studies even rely directly on the GCM grid cell time series to represent individual locations. Accordingly, this study evaluates 10 CMIP Phase 6 (CMIP6) GCMs with respect to some atmospheric variables (air temperature, solar radiation, and wind speed, which are the primary drivers of PVpot) in four lowland grid cells representing four major urban areas in Central and Southeast Europe: Belgrade (Serbia), Budapest (Hungary), Vienna (Austria), and Prague (Czechia). The use of solar energy has increased significantly in most of these regions in recent years; however, it remains less studied than in Western Europe. ERA5 reanalysis is used as the reference dataset. We analyzed the boreal summer (JJA) days of three overlapping 30-year time periods: 1971–2000, 1981–2010, and 1991–2020. Our main findings are as follows: GCMs tend to overestimate solar radiation and underestimate maximum near-surface air temperature relative to ERA5 in all time periods and in all the four urban areas, which leads to a significant overestimation of the number of JJA days with high PVpot (PVpot,90). PVpot,90 is increasing from 1971–2000 to 1991–2020 in the vast majority of GCMs, in all the four regions. EC-Earth3 and its different configurations (EC-Earth3-Veg, EC-Earth3-CC) are considered the most accurate GCMs relative to ERA5.

Urban Science doi: 10.3390/urbansci10040203

Authors: Mahmoud Bader Krishanu Roy Terri-Ann Berry Kim de Graaf

Globally, sustainability indicators have become increasingly important in the building construction sector. While contractors play a critical role in advancing sustainability during the construction phase, there is limited guidance on the specific practices they should adopt. This study aims to address that gap by identifying sustainable practices relevant to building construction and developing an initial set of practical guidelines to support contractors in enhancing their sustainability performance. Based on a literature review and the author’s experiences in New Zealand, a list of 49 sustainable practices for building construction has been developed, addressing the three pillars of sustainability: environmental, economic, and social. The research focuses on the building construction phase and emphasises contractor-level key implementation challenges, such as regulatory barriers and the need for enhanced waste management during construction. The proposed list of practices can serve as a valuable tool to guide contractors’ commitment to sustainability and may inform contractor selection for future tender projects.

Urban Science doi: 10.3390/urbansci10040202

Authors: Bayode Akomolafe Raphael Ayambire Amelia Clarke

Deep decarbonization strategies at the local level have been extensively documented for cities in the Global North, yet little is known about how cities in Sub-Saharan Africa (SSA) pursue climate mitigation amid infrastructure constraints, limited fiscal autonomy, and pressing developmental needs. Local governments worldwide are recognized as critical actors in addressing urban greenhouse gas (GHG) emissions. However, SSA cities’ decarbonization efforts remain underexplored in academic and policy discourse, despite the region’s acute climate vulnerability and rapid urbanization. However, SSA cities’ decarbonization efforts remain underexplored in academic and policy discourse, despite the region’s acute climate vulnerability and rapid urbanization. This study examines how deep decarbonization pathways in four leading SSA cities (Accra, Addis Ababa, Lagos, and Nairobi) compare with those in the Global North. Using qualitative methods including document analysis and semi-structured interviews, we examine the technical pathways, institutional strategies, governance mechanisms, and actors involved in these cities’ climate mitigation efforts. Our findings reveal that while SSA cities pursue similar technical priorities to Global North cities (renewable energy, building efficiency, sustainable transport), their approaches diverge significantly in implementation. SSA cities innovate through decentralized waste-to-energy systems adapted to informal contexts, rely heavily on donor funding rather than municipal bonds, and uniquely leverage traditional institutions for community engagement. Governance structures are predominantly top-down and centralized, contrasting with the polycentric, multi-level governance observed in the Global North. These findings demonstrate that deep decarbonization in SSA must be reconceptualized not only as a form of climate mitigation but as an integrated strategy that addresses infrastructure gaps and building institutional capacity. This research contributes new knowledge on urban climate governance in developing regions and offers transferable lessons for cities facing similar constraints.

Urban Science doi: 10.3390/urbansci10040201

Authors: Priscilla Nelson Richard Little

Underground infrastructure systems are typically managed as discrete technical assets rather than as integrated, adaptive systems. This paper develops the Body Underground framework, a structured biological analogy that synthesizes prior clinical and epidemiological metaphors into a multiscale conceptual model linking materials, facilities, networks, and governance. Building on Little’s clinical framing of infrastructure health and Bardet and Little’s epidemiological analysis of network failure clustering, the framework extends biological interpretation to anatomical, physiological, and homeostatic scales. The approach maps structural, hydraulic, sensing, protective, and regulatory functions to functional equivalents in living systems using explicit criteria of feedback, regulation, and measurability. The central objective of the study is to determine whether biological regulatory concepts—particularly homeostasis and hierarchical organization—can provide a coherent interpretive structure for understanding infrastructure health across material, facility, network, and governance scales. The resulting framework reframes resilience as dynamic regulatory balance rather than static robustness alone. It clarifies the methodological basis for constructing biological–infrastructure analogies, identifies measurable “vital signs” for infrastructure health, and outlines pathways toward operational translation through integrated monitoring and governance feedback. While conceptual in nature, the framework provides a structured synthesis linking material science, infrastructure engineering, systems resilience theory, and policy coordination. By organizing resilience concepts through cross-scale regulatory logic, the Body Underground model offers a coherent structure for integrating monitoring, diagnosis, and governance in the proactive management of underground infrastructure systems.

Urban Science doi: 10.3390/urbansci10040200

Authors: Tatevik Mkrtchyan Ani Khachatryan Svetlana Ratner

Urban demographic dynamics—including migration, aging, fertility change, and population redistribution—are central to sustainable urban development, urban resilience, and long-term well-being. In many small and transition economies, rapid urbanization combined with sustained emigration and population aging poses significant challenges for urban planning, labor markets, housing systems, and public services. The purpose of the paper is to evaluate urban sustainability-related demographic risks by a composite index and assess long-term demographic dynamics with different trajectories of migration flows and fertility. Since migration flows are more intense among urban population, depopulation is very high in peripheral rural areas, and urbanization is about 64% in Armenia, the results of the research will inform national and urban policy makers to reshape policy frameworks to enhance long-term urban resilience. This study develops a demographic threat index (DTI) to assess demographic risks relevant to urban sustainability in Armenia over the period 2000–2023. The index integrates 20 indicators grouped into three pillars—population change, population health, and socio-economic vulnerability—with indicator weights derived using principal component analysis (PCA). The results reveal a persistent increase in demographic risks, marked by accelerated population aging, declining youth cohorts, and rising socio-economic vulnerability, particularly in urban contexts. A decomposition of population change demonstrates that net migration has been the dominant driver of demographic dynamics, outweighing the combined effects of fertility and mortality. Scenario-based population projections further indicate that even optimistic increases in fertility are insufficient to stabilize population trajectories without sustained positive migration. By linking demographic security to urbanization, migration, and socio-economic vulnerability, the study highlights the importance of integrated urban and demographic policy frameworks. The proposed index offers a replicable tool for evaluating demographic risks in countries facing similar urban and demographic transitions and provides evidence-based insights for urban planning, migration management, and sustainable city strategies.

Urban Science doi: 10.3390/urbansci10040199

Authors: Daniel V. Perrucci German C. Buitrago Brady McKay Kathleen Short Christopher Santos

After major disruptive events, particularly natural and human-made disasters, community leaders face the challenge of rebuilding societal infrastructure and managing the allocation of funds, which can affect the duration of recovery periods. Decision-makers must quickly determine how to allocate financial resources while minimizing population distress. Conventional methods of assessing damage and evaluating relief requirements fall short of meeting the urgent recovery needs after a disaster, potentially leading to negative effects on communities, such as involuntary relocation and neighborhood gentrification. The study evaluates current methods and technologies to propose a new approach that leverages low-cost consumer drones and modern image analysis techniques to support initial damage assessments and track recovery progress, thereby promoting the dynamic allocation of limited resources. Using low-cost drone imagery enables rapid, cost-effective data collection and dynamic analysis through iterative reviews during the disaster response and recovery phases that can adjust baseline disaster funding allocations. The study investigates the potential of temporary blue tarp roofs (“blue roofs”) as a metric for recovery progress during the 2020 tornado in Middle Tennessee and conducts an R-squared and error analysis. The goal of this research is to evaluate an affordable and efficient data analysis method (e.g., modern image analysis; artificial intelligence; low-cost drones) that can improve post-disaster resource allocation and inform decision-making for governmental and planning officials.

Urban Science doi: 10.3390/urbansci10040198

Authors: Rita Salgado Brito Maria Adriana Cardoso Catarina Jorge Maria do Céu Almeida Pedro Teixeira Maria João Telhado

Although urban resilience is a complex concept, several initiatives have made it more tangible. Urban public authorities and policymakers are of utmost importance, as they influence multiple neighbourhoods, stakeholders and aspects of urban resilience. Nevertheless, the role of individual facilities—such as sports fields—should not be overlooked. While their impacts are smaller in scale, they can significantly enhance local resilience and serve as inspirational pilots for broader initiatives. To assess resilience at the facility scale, an existing assessment framework was adapted, aligned with ESG (environmental, social and governance) criteria and climate action pillars and valuing ecosystem services. In the sports field case study, stormwater was reframed from a burden into a resource and integrated with other scheduled resilience-enhancing interventions: water conservation, installation of photovoltaic panels, enhanced tree shading, and circularity through sports equipment reuse. Together, these interventions strengthen urban sustainability, resilience, and climate adaptation while delivering ecological and social benefits. The stormwater drainage system was modelled to simulate naturalization actions. The assessment framework is described, and its application at both neighbourhood and facility scales is discussed. Comparisons between the existing and improved situations show clear resilience gains, and opportunities for extending these measures to the city scale are explored.

Urban Science doi: 10.3390/urbansci10040197

Authors: Abdulmannan Rouhani Valentina Pidlisnyuk Andrzej Cezary Żołnowski Elżbieta Rolka Sylvie Kříženecká Karim Suhail Al Souki

Wood biomass ash (WBA) from thermal power plants is often landfilled despite its potential as a secondary raw material. This study adopts a circular economy perspective to assess the physicochemical properties, valorization potential, and environmental risks of WBA, aiming to support its use in agriculture and environmental management. Comprehensive characterization included pH, cation exchange capacity (CEC), proximate and elemental composition, and selected organic contaminants, including polycyclic aromatic hydrocarbons (PAHs). The WBA exhibited a strongly alkaline pH (10.55), moderate CEC (4.36 cmol kg−1), and high ash content (78.32%), with lower nutrient content than other biomass ashes. Major elements included Ca (6.84%), K (2.90%), and Si (3.19%), while nitrogen was absent. Potentially toxic elements (PTEs) such as As, Cd, and Ni were below detection limits; Cr, Cu, Pb, and Zn remained within most regulatory thresholds, although Zn exceeded some limits. ΣPAHs were low (0.05 mg·kg−1), indicating minimal environmental concern. Despite reduced nutrient richness, the ash demonstrated suitability as a liming agent and supplementary nutrient source, provided that Zn levels are managed and nitrogen is supplemented. These results support the redirection of WBA from disposal to beneficial use, advancing circular economy goals and contributing to more sustainable and resilient agricultural systems.

Urban Science doi: 10.3390/urbansci10040196

Authors: Adriana Olteanu Silvia Oana Anton Radu Nicolae Pietraru

As global temperatures rise, cities struggle with heat stress and the limitations of traditional cooling strategies. This study introduces “seasonal urban exodus”—temporarily relocating urban residents to cooler areas during summer—as a behavioral climate adaptation strategy driven by the need for thermal comfort. To assess social feasibility, a survey was conducted among 163 urban residents in Romania. The dataset was analyzed using linear regression and machine learning algorithms (Random Forest and K-Means clustering). The results show that 77.9% of respondents would relocate for 1–2 months if they had adequate destination infrastructure, while a 2 °C temperature increase would cause 46% to migrate temporarily. Predictive modeling identified barriers related to heat (p = 0.009) and transportation (p = 0.016) as the most significant predictors of relocation intention. These results suggest that seasonal mobility is a viable social response to urban heat islands. However, while this adaptation strategy improves individual thermal comfort, further interdisciplinary research—including life-cycle assessments, travel emission calculations, and the evaluation of rural energy systems—is absolutely necessary to determine the net carbon balance and environmental viability of these relocation patterns.

Urban Science doi: 10.3390/urbansci10040194

Authors: Joan Rossello-Geli

Sóller, a highly touristic town in Mallorca, has been affected by gentrification problems related to the tourism industry. Recently, another gentrification process has appeared, affecting the retail fabric and leading to the disappearance of traditional locally owned shops and their substitution with tourist-focused stores. Using data from different sources, such as the City Hall documentary data, the Commerce Association archives and Google Street View images, this research highlights the gentrification process affecting two of the main commercial areas of the town. The results confirm that a commercial gentrification process, already identified in large cities such as Barcelona or Venice, can also affect medium-sized towns, creating a retail mutation that impacts local residents and their shopping capabilities.

Urban Science doi: 10.3390/urbansci10040195

Authors: Giuseppe De Luca Matteo Landoni

This article presents an analysis of cross-border cooperation over the mountains. This research stems from a European project that investigated the difficulties and opportunities to form research and innovation (R&I) partnerships in the European Alps, a geographically challenging yet highly developed region bordering seven countries at the heart of Europe. The investigation highlights the role of orchestrator platforms for coordinating and matching partners in peripheral and complex areas such as the Alps, where the characteristics of a border region combine with small and peripheral urban areas. The analysis combines second-hand studies with surveys and interviews of 114 participants in innovative partnership projects from 2019 to 2022. The evidence highlights the challenges in forming effective partnerships and presents policy proposals for managing mountain entrepreneurial ecosystems. This research contributes by providing policy prescriptions that point to digital platforms for R&I collaborations in a disadvantaged and poorly explored context, such as the smaller urban areas in the Alps.

Urban Science doi: 10.3390/urbansci10040193

Authors: Atakilti Kiros Yuri Ribakov Israel Klein Achituv Cohen

Urban mobility is a central challenge for sustainable and inclusive cities, as climate change, congestion, and spatial inequality increasingly reveal mobility patterns as expressions of deeper social and spatial structures. Inclusive urban mobility examines whether transport systems equitably support the everyday movements and accessibility needs of historically marginalized and underserved populations. The integration of artificial intelligence with geographic information science, combined with multimodal geospatial data fusion, provides powerful tools to diagnose and address these disparities by integrating heterogeneous data sources such as satellite imagery, GPS trajectories, transit records, volunteered geographic information, and social sensing data into scalable, high-resolution urban mobility analytics. This paper presents a systematic survey of recent GeoAI studies that fuse multiple geospatial data modalities for key urban mobility tasks, including accessibility mapping, demand forecasting, and origin–destination flow prediction, with particular emphasis on inclusive and equity-oriented applications. The review examines 18 multimodal GeoAI studies identified through a PRISMA-ScR screening process from 57 candidate publications between 2019 and 2025. The survey synthesizes methodological trends across data-, feature-, and decision-level fusion strategies, highlights the growing use of deep learning architectures, and examines emerging techniques such as knowledge graphs, federated learning, and explainable AI that support equity-relevant insights across diverse urban contexts. Building on this synthesis, the review identifies persistent gaps in population coverage, multimodal integration, equity optimization, explainability, validation, and governance, which currently constrain the inclusiveness and robustness of GeoAI applications in urban mobility research. To address these challenges, the paper proposes a structured research roadmap linking these gaps to concrete methodological and governance directions including equity-aware loss functions, adaptive multimodal fusion pipelines, participatory and human-in-the-loop workflows, and urban data trusts to better align multimodal GeoAI with the goals of inclusive, just, and sustainable urban mobility systems.

Urban Science doi: 10.3390/urbansci10040192

Authors: Danielle Elis Garcia Furuya Gleison Marrafon Eduardo Lopes de Lemos Michelle Tais Garcia Furuya Robson Diego Silva Gonçalves Wesley Nunes Gonçalves José Marcato Junior Édson Luis Bolfe Veraldo Liesenberg Lucas Prado Osco Ana Paula Marques Ramos

Mapping urban tree species supports green infrastructure planning. An essential issue refers to the monitoring of exotic species that may become invasive. Street-level imagery provides a complementary perspective to aerial images for species identification that are difficult to distinguish from above. In this context, our study aimed to evaluate deep learning-based object detection and image segmentation approaches to identify a potentially invasive tree species known as Leucaena leucocephala in an urban environment in Brazil, using 422 street-level images acquired from Google Street View (SV) and mobile phones (MPs). Object detection models (YOLOv8 and DETR) and a foundation segmentation model (SAM, zero-shot) were applied to assess how deep learning paradigms perform under heterogeneous urban imaging conditions. YOLOv8 achieved detection performance with mAP50 above 0.83 and recall up to 0.76. DETR showed domain sensitivity, with mAP50 of 0.45 in SV images and 0.84 in MP imagery. For segmentation, SAM zero-shot achieved 0.92 accuracy and 0.93 F1-score in SV images, decreasing to 0.63 accuracy and 0.66 F1-score in MP images. Overall, this study demonstrates that combining detection and segmentation approaches provides complementary information for urban vegetation monitoring, supporting decision-making related to invasive species management and sustainable urban landscape planning.

Urban Science doi: 10.3390/urbansci10040191

Authors: Rana Elnaklah Amit Kant Kaushik Badr Saad Alotaibi

The ongoing rise in temperatures due to climate change is one of the most critical considerations in the design of outdoor recreational spaces. Thermal conditions can affect people’s visitation patterns, satisfaction, health and well-being. In many developing countries, including Jordan, rapid urbanisation often occurs without sufficient planning for public outdoor spaces, thereby diminishing their quality. This study is the first to investigate the effects of temperature on visitor patterns and user satisfaction in Jordanian urban parks. A mixed-methods approach was employed, combining continuous measurements of outdoor temperature (Ta) and relative humidity (Rh) with a survey assessing users’ thermal sensation, satisfaction, and preferences across six urban parks in Amman, Jordan. Data were collected from 718 respondents in summer 2025. Visitation records for the surveyed parks were also obtained from local authorities for the monitored period. The results show that the mean Ta exceeded 30 °C in all surveyed parks during the monitoring period, with peak readings exceeding 41 °C. This resulted in a warm-to-hot thermal sensation among participants, with many preferring cooler conditions. A significant inverse relationship between temperature and park visitation rates (R2 = 0.67, p = 0.001) was observed, with a 1 °C increase in outdoor temperature associated with approximately a 2.03 visitor decrease. Participants’ satisfaction was higher in parks with adequate amenities, such as shading, disability access, and green zones, than in parks with fewer amenities (p = 0.01, d = 0.63). The most reported areas for improvement included facilities, shaded seating areas, and perceived safety. The findings highlight the importance of considering outdoor thermal conditions when designing urban parks, as they shape public outdoor activity patterns, particularly in hot climates.

Urban Science doi: 10.3390/urbansci10040190

Authors: Beibei Zhang Kimihiro Hino Hayato Nishi

Financial channels only redistribute existing wealth rather than generating new wealth. Consequently, financialized gains for one person inevitably mean losses for others. However, the prevailing literature on housing financialization often emphasizes how investors earn excessive profits while neglecting how ordinary households bear corresponding losses. This study seeks to initiate a conceptual and empirical exploration of financialized loss within housing consumption. This study first clarifies what constitutes these losses. It then employs a comparative case study of Japan and Canada to highlight how certain housing characteristics are linked to major financialized losses for housing consumers. The findings can guide the design of more targeted housing policies to reduce housing consumers’ losses and, thereby, improve housing affordability for ordinary households. Ultimately, this study lays the groundwork for a new research agenda focused on financialized loss in housing consumption, thereby providing a novel perspective for understanding housing financialization.

Urban Science doi: 10.3390/urbansci10040189

Authors: Irma Kveladze Henning Sten Hansen

Mobility of the migrant population plays a crucial role in shaping urban spaces, neighbourhood change and socio-economic development. While extensive research has been conducted on the spatio-temporal dynamics of migration in large metropolitan areas, there remains a notable lack of understanding of the impact of migration on medium-sized cities, on their internal spatial distribution and socio-spatial differentiation. This study aims to fill this gap by examining the urban settlement patterns of migrants in two medium-sized Danish cities: Aalborg and Odense. The research explores the intra-urban spatial distribution of various migrant groups, considering their origins and residential preferences. Additionally, it analyses the social and structural pull-factor proxies that influence these patterns, including urban housing market dynamics and access to amenities and services. Through an exploratory spatial analysis and data visualisation approach, this study reveals detailed insights into the determinants of migrant settlement. The findings indicate a significant intra-urban concentration of certain migrant groups, especially in the city centres, which often correspond to areas with a higher concentration of essential amenities. By focusing on mid-sized cities and adopting a case-based, comparative methodology through an extensive data visualisation approach, this research enhances urban science knowledge by illuminating underexplored urban contexts and providing a fresh view on the interplay between migration, urban development and spatial planning in medium-sized cities.

Urban Science doi: 10.3390/urbansci10040188

Authors: Haili Zhang Zongshan Zhao Zongjin Zhao Mir Muhammad Nizamani Xiuyu Bian Xiujun Liu

Urban street greenery plays a crucial role in enhancing biodiversity, environmental quality, and human well-being. However, how different street greening strategies shape urban plant diversity across functional urban contexts remains insufficiently understood. Taking Jinan, a rapidly urbanizing city in China, as a case study, this research investigates the spatial patterns, compositional differences, and driving mechanisms of plant diversity between Green Streets (GS) and Non-Green Streets (NGS) across various Urban Functional Units (UFUs). A 1 km × 1 km grid was used to delineate UFUs, combined with field-based plant surveys, linear regression analyses, and the public space assessment framework of Sustainable Development Goal (SDG) 11.7.1. Results indicate that plant diversity is strongly dependent on urban functional types, with higher species richness observed in residential and recreation/leisure districts, and lower levels in industrial, commercial, and transportation districts. The ecological effects of GS exhibit clear context dependence, being more pronounced in residential, educational, and public service areas, but limited in commercial and industrial zones. NGS recorded a significantly higher total number of plant species (346) than GS (116), with NGS dominated by native spontaneous species and GS characterized by introduced cultivated plants, reflecting the filtering effects of different management intensities. Management variables, particularly watering (positive) and fertilization frequency (negative), is primarily positively associated with plant diversity in GS, whereas diversity in NGS is more closely associated with socio-economic and spatial factors such as UFU area and housing prices. Furthermore, the current SDG 11.7.1 indicator emphasizes the quantity and accessibility of public spaces but insufficiently captures their ecological quality. This study highlights the need to integrate biodiversity and vegetation structural complexity into public space assessments, providing scientific support for quality-oriented urban green infrastructure planning and sustainable urban development.

Urban Science doi: 10.3390/urbansci10040187

Authors: Hana Begić Juričić Hrvoje Krstić Dino Obradović

This study develops and validates heating energy consumption models for school buildings in Osijek-Baranja County in Croatia, integrating an overview of the legal framework, a review of heating energy consumption in schools, and approaches to predicting consumption. Three models, Multiple linear regression (MLR), Artificial neural networks (ANN), and Random forest (RF), were tested using training and validation datasets. Although ANN and RF achieved higher accuracy during training, their complexity and computational demands reduce their suitability for everyday use in schools. MLR, despite slightly lower accuracy (R2 = 0.897 on validation), proved to be the most practical due to its simplicity, transparency, and minimal resource requirements. Additional testing on schools in eastern Croatia confirmed its strong performance, with high R2 and low MAPE values, reflecting the uniformity of heating systems that predominantly rely on gas or district heating. In contrast, prediction accuracy decreases in coastal regions where diverse fuels such as electricity or heating oil are used, indicating the need for region-specific models. Overall, the findings show that MLR is the most applicable model for widespread implementation, while ANN and RF offer potential for specialized cases or future enhancement.

Urban Science doi: 10.3390/urbansci10040186

Authors: Veronica Gazzola Scira Menoni Carmela Melzi Marco Broggi

In response to worsening environmental challenges, ensuring the continuity of energy services during extreme weather events has become increasingly urgent. A proactive and coordinated approach is therefore required, encouraging cooperation among stakeholders to share knowledge, provide training, and adopt common strategies. Such an approach is intended to mitigate both direct and indirect impacts of power outages on territorial systems, while enhancing their ability to manage and promptly recover from disruptions, thereby reinforcing the protection and resilience of the energy sector infrastructures. Based on the experience gained with the Lombardia Region (Northern Italy), operational recommendations are proposed to strengthen territorial resilience and reduce power network vulnerabilities to weather-related power outages. These recommendations are elaborated in accordance with the current European and national regulatory frameworks on the topic and account for emerging exposure and vulnerability factors in Lombardia by explicitly addressing differences between mountain and plain areas. They provide local authorities with coordinated planning tools to manage blackout risks across all disaster phases, supporting risk prevention and preparedness, facilitating emergency management, and enabling the rapid restoration of normal conditions in territories potentially exposed and vulnerable to electrical blackouts.

Urban Science doi: 10.3390/urbansci10040185

Authors: Shenyuan Xue Cisheng Wu Teng Liu Changqi Du

This study assesses regional science and technology (S&T) innovation efficiency across 30 Chinese provinces from 2011 to 2022, incorporating a sustainable development perspective. Employing a non-oriented global frontier super-slack-based measure (SBM) model that accounts for undesirable outputs, along with kernel density estimation, cluster analysis, and Moran’s I, the research investigates the spatiotemporal evolution of innovation dynamics. The findings demonstrate a marked upward trend, with the national average efficiency score rising from 0.260 to 0.703. Temporally, efficiency advanced through three stages: an initial period of universally low efficiency, a phase of widening disparities, and a final stage of overall improvement and stabilization. Spatial analysis reveals a persistent “strong in the east, weak in the west” disequilibrium; however, absolute β-convergence tests indicate a significant reduction in regional disparities (p < 0.05). Kernel density estimation reveals a shift from a polarized “pyramid” shape to a more balanced “spindle-shaped” distribution. This is evidenced by a decrease in kurtosis and a rightward shift in the median. Spatial autocorrelation, as measured by the Global Moran’s I, evolved from a statistically insignificant distribution in 2011 to a strong positive correlation (0.223, p < 0.05) by 2022. This progression reflects a transition from isolated “unipolar” hubs to integrated “multi-center block linkages.” The results suggest that, although polarization is diminishing and the national innovation baseline is improving, policy efforts should prioritize the development of emerging innovation corridors to address the remaining east–west divide.

Urban Science doi: 10.3390/urbansci10040184

Authors: Sarah Al-Thani Jasim Azhar Raffaello Furlan Jalal Hoblos Abdulla AlNuaimi

Neoliberal privatization models, emphasizing economic advancement over universal fairness, present considerable challenges to the urban regeneration process in post-conflict environments. The Solidere project in Beirut shows how architectural development in the Central District establishes social obstacles through its transformation of 1.8 million m2 of war-destroyed territory. This research applies UNESCO’s Historic Urban Landscape (HUL) framework to distinguish regeneration from gentrification systematically and to assess the impact of privatized governance. By employing rigorous case study methodologies to assess master plans, legal statutes, corporate reports, and academic publications, four evaluation criteria for the HUL: historical layering, social participation, spatial connectivity, and physical integrity, were developed. The results show that while Solidere’s physical reconstruction was successful; it did not incorporate HUL principles fully. This resulted in the forced relocation of between 40,000 and 60,000 individuals, the commercialization of heritage through façadism, with 24% of the original buildings being preserved and 76% being destroyed. Sarajevo serves as a point of comparison, revealing the vulnerabilities of profit-driven approaches. The study shows that market-driven reconstruction efforts lacking public engagement will foster exclusionary gentrification, resulting in the erosion of urban identity and ownership, challenging neoliberal urban theories.

Urban Science doi: 10.3390/urbansci10040183

Authors: Khoren Mkhitaryan Anna Sanamyan Hasmik Hambardzumyan Armenuhi Ordyan Gor Harutyunyan

The rapid digitalization of cities is reshaping urban planning practices; however, significant gaps persist between technological investments and institutional governance capacity, particularly in transition economies. This study investigates how digital tools can be systematically embedded within planning processes to improve decision-making quality, coordination, and administrative efficiency. Drawing on urban governance theory and an empirical implementation study conducted in Yerevan, Armenia (population 1.1 million) between 2019 and 2023, the paper develops and operationalizes a multi-layer governance framework that aligns digital instruments—including geospatial information systems, performance dashboards, and decision-support platforms—with strategic, tactical, and operational levels of city management. The framework is evaluated through institutional analysis of municipal policy documents, planning databases, and semi-structured interviews with planning officials. The results reveal substantial governance barriers, including data fragmentation, organizational silos, and limited digital capacity. Framework-based implementation produced measurable improvements: planning decision cycles shortened by 43%, GIS utilization increased from 18% to 68% of eligible projects, inter-agency data sharing rose sixfold, and annual cost savings of approximately $1.2 million were achieved through reduced duplication and faster approvals. By combining conceptual design with empirical validation, the study advances digital urban governance research and offers a transferable, evidence-based model for implementing resilient and efficient data-driven planning systems in resource-constrained contexts.

Urban Science doi: 10.3390/urbansci10040182

Authors: Zaida Salas-Franco Òscar Saladié

Mobility and its infrastructure represent challenges for contemporary society. It is necessary to promote collective public transport and active mobility, because they contribute to improving accessibility in cities and the well-being of society. The objectives of this research are (1) to analyze the perception of the population of Cartagena, Colombia, in relation to public transport safety; (2) to highlight the level of knowledge about legislation or regulations related to mobility and their participation in the adoption of planning tools for implementation; and (3) to analyze the proposed initiatives to achieve a more equitable, egalitarian, fair, inclusive, and sustainable mobility. The results emanate from a digital survey conducted with 828 people from different neighborhoods and socioeconomic strata in Cartagena. Regarding the first objective, the findings indicate that almost one-third of the respondents consider public transport unsafe or very unsafe. Public transport is perceived as more unsafe by women than men. In terms of the second objective, there is limited knowledge of mobility regulations (56% did not know or did not respond) and low citizen participation (12%) in the adoption of planning tools. Concerning the third objective, the results showed 54 initiatives oriented toward institutional strengthening and undertaking a more equitable, egalitarian, fair, inclusive and sustainable mobility.

Urban Science doi: 10.3390/urbansci10040181

Authors: Nouha Ben Aissa Mahmoud Belamhitou

Urban supermarkets are increasingly challenged to design spatial strategies that align with consumers’ demand for convenience, accessibility, and local embeddedness. Despite the growing recognition of spatial behavior in retailing, limited research has examined how different forms of proximity jointly shape consumers’ perceptions of store attractiveness and their subsequent location choices, particularly in emerging urban contexts. This study investigates how four proximity dimensions—access, identity, relational, and process proximity—affect durable and situational attractiveness, which in turn drive consumers’ retail location choices. Data from 567 supermarket shoppers in Tangier, Morocco, were analyzed using a structural model integrating these spatial and behavioral constructs. Results reveal that proximity exerts a strong positive effect on store attractiveness, with access and identity dimensions emerging as the most influential drivers of consumer patronage. This study contributes to the geo-marketing and spatial consumer behavior literature by conceptualizing proximity as a multidimensional construct that bridges spatial accessibility, social attachment, and retail experience, offering new insights for localization strategies in emerging markets.

Urban Science doi: 10.3390/urbansci10040180

Authors: Ștefan Bilașco Sorin Filip Réka Horeczki Sanda Roșca Szilárd Rácz Irina Raboșapca Iuliu Vescan Ioan Fodorean

The concept of the 15 minutes city is increasingly present in the structure of spatial planning for large urban centers, with the main goal of improving quality of life by facilitating access to basic necessities for the population. This study aims to provide an integrated assessment of spatial accessibility for two urban centers that differ in structure and organization, with the main goal of identifying best practices that can be borrowed from one urban center to another in order to streamline sustainable spatial planning based on the strategic concept of the 15 minutes city. The entire research process is based on the development of a completely new and innovative GIS spatial analysis model that will add value to the specialized literature both through the geoinformational approach to the analysis, integration and through the exclusive use the freely available GIS databases (using the OpenStreetMap database), functionally integrated through network analysis and equations weighing the importance of accessibility needs for the population. For the analysis of pedestrian accessibility, in minutes, a total of 4826 locations were used for Cluj–Napoca and 5050 for Pecs, which were structured into 12 subclasses and five main classes (Recreational and Cultural, Public Services and Safety, Education and Health, Commercial, and Public Transport) established in accordance with the main requirements of the 15 minutes city development methodology. The integration of subclasses and accessibility classes was achieved by weighting their importance according to the responses obtained after the implementation of questionnaires to identify the working population’s perception of accessibility in their daily routine. The comparative analysis of the intermediate and final results of the proposed model leads to the establishment of directions and decision-making in the territorial planning process through the transfer of knowledge, solutions, and techniques between the two urban centers to eliminate or reduce negative hotspots and develop a more sustainable urban center in terms of accessibility and as close as possible to a 15 minutes city.

Urban Science doi: 10.3390/urbansci10040179

Authors: Yasmany García-Ramírez Soledad Segarra-Morales Juan Pablo Diaz-Samaniego

Urban pedestrianization has become a widely adopted strategy to promote sustainable mobility, improve urban livability, and enhance the quality of public space. Despite its potential benefits, pedestrianization interventions often generate heterogeneous perceptions among different user groups, which may influence their long-term acceptance. This study analyzes citizen perceptions of an urban pedestrianization intervention implemented in the city of Loja, Ecuador, considering residents, business owners or employees, and pedestrians or visitors. A structured survey was conducted, and the collected data were analyzed using exploratory analytical techniques, including rescaled single-item indices, user segmentation, and Spearman correlation analysis to identify patterns and relationships among variables. The results reveal significant associations between socio-demographic characteristics, user type, and acceptance of permanent pedestrianization, as well as differentiated patterns of urban experience. These findings provide empirical evidence to support decision-making in urban mobility policies and contribute to the academic discussion on pedestrianization in intermediate Latin American cities.

Urban Science doi: 10.3390/urbansci10040178

Authors: Montserrat Guerrero Lladós Igor Martins Medeiros Robaina Josep Ramon Mòdol Ratés

This study presents a comparative analysis of residential segregation among the three largest foreign-born populations residing in Spain: Moroccans, Romanians, and Colombians. Using data from Spain’s Population and Housing Census (INE), the research analyzed the segregation index across 34 urban areas in medium-sized cities. Three urban areas in Catalonia were selected for the intraurban case studies, and Pearson correlation coefficients were calculated for 60 sociodemographic variables. The objectives were to identify indicators that helped diagnose potential segregation contexts and to explore residential patterns by country of origin. The study was grounded in a central premise: the foreign-born population cannot be treated as a homogeneous group, as aggregation conceals group-specific inequalities and differentiated spatial configurations. The findings showed that segregation occurred. Moroccans exhibited the highest levels of segregation, which was associated with socioeconomic vulnerability and also a marked residential preference for central urban areas. Colombians displayed lower levels of segregation and greater territorial dispersion, pointing to broader residential access. Romanians presented intermediate and heterogeneous patterns, which combined localized concentrations with peripheral settlement. The results highlighted how intraurban differentiation emerged from interactions between different migrant profiles, housing opportunity structures, and urban morphology, providing an empirical basis on which to design targeted urban policies.

Urban Science doi: 10.3390/urbansci10040177

Authors: Esaie Dufitimana Jean Pierre Bizimana Ernest Uwayezu Paterne Gahungu Emmy Mugisha

Urbanization significantly enhances socio-economic conditions, health, and well-being for many by improving access to services, education, and economic opportunities. However, socio-economic and public health disparities are also being exacerbated by urbanization. The reliable data required to monitor these conditions are often unavailable, outdated, or inconsistent. This study introduces a multimodal deep learning framework that integrates satellite imagery with street network datasets to predict urban socio-economic indicators and public health determinants at the sector level as a political administrative unit of public health planning in Rwanda. We extracted latent visual and topological embeddings of the urban built environment, using a Convolutional Neural Network (CNN) and Graph Neural Network (GNN). These embeddings were fused through an attentional mechanism to train a multi-task regression model that simultaneously predicts multiple socio-economic indicators and public health determinants. This framework was applied to the City of Kigali in Rwanda. Overall, the multimodal fusion model achieved the best average performance across targets, with an average correlation of 0.68 and MAE of 1.26 for socio-economic indicators, and 0.68 and 1.46 for public health determinants, demonstrating the benefit of integrating visual and topological information. The learned fused embedding space arranges socio-economic indicators and public health determinant deciles along a continuous morphological gradient from sparsely built rural settings to dense urban settings, demonstrating that the urban form encodes latent signals that capture socio-economic indicators and health determinants. Moreover, the study reveals a strong relationship between socio-economic indicators and the public health index, with education, cooking materials, and floor materials exhibiting a correlation above 0.96. This work demonstrates the utility of an integrated framework for socio-economic indicator profiling and public health planning in data-scarce urban contexts, offering a scalable approach for monitoring the indicators of Sustainable Development Goals in rapidly changing urban environments.

Urban Science doi: 10.3390/urbansci10040176

Authors: Xin Zhang André Brown Antony Pelosi

This study reports on the devising and testing of the implementation and effectiveness of geolocated augmented reality (AR) as a potential means to convey urban information and elicit citizen interaction with the ability to interface with a digital twin city (DTC) environment. We have taken an open platform approach. The prospective approach is specifically chosen to test a set of technologies that could inform and actively engage citizens in matters of urban design and development. Critically, in line with the strategy of openness, the approach employs mobile technologies freely available to both citizens and city authorities. We first examine the recent DTC frameworks and the AR technologies capable of delivering the desired on-site interaction. Subsequently, we describe the structured development and testing of a prototype geolocated AR open technology implementation that could effectively integrate mutual communication with a DTC representation. In the case study, we examine the information flow paradigm between the physical and the virtual, then report on the technology’s usability. The study reveals promising performance and potential for the mobile AR system that has been developed, meeting the target expectations for the desired forms of public engagement that could be integrated with a DTC environment. If implemented, this approach has the potential to foster site-specific engagement, both digitally and physically, to enable citizens to interact with city authorities and, more broadly, to promote spatial smartness and urban intelligence.

Urban Science doi: 10.3390/urbansci10030175

Authors: Nicolae Marcoie Elena Iliesi András-István Barta Irina Raboșapca Daniel Toma Valentin Boboc Cătălin-Dumitrel Balan Bogdan-Marian Tofănică

Urbanization fundamentally fractures the natural water cycle, leading to a cascade of interconnected problems including increased flood risk, degraded water quality, stressed groundwater resources, and inefficient distribution networks. Traditional, fragmented management approaches that address these issues in isolation have proven inadequate. This research argues for a paradigm shift towards an Integrated Urban Water Management (IUWM) framework anchored in the concept of the “river-aquifer-pipe network continuum”, treating these components as a single, dynamic hydrological and infrastructural entity. Drawing upon a series of detailed case studies from Eastern Romania, this paper synthesizes the systemic impacts of development across the entire urban water system. Evidence from the Prut, Olt, and Bahlui river basins demonstrate how channelization exacerbates flood peaks and leads to severe biochemical degradation. Hydrogeological modeling of the Gherăești-Bacău wellfield reveals the vulnerabilities of over-extraction, while analysis of the Iași water network highlights the challenge of water losses in the aging infrastructure. In response, a modern, multi-tool approach is consolidated into a practical, three-stage framework for action: Diagnose, Prescribe, and Optimize. This framework advocates for (1) a comprehensive diagnosis using a suite of predictive numerical models (a “digital twin”); (2) the prescription of foundational, nature-based solutions, such as floodplain restoration, to heal core ecological functions; and (3) the continuous optimization of engineered infrastructure using smart, real-time control technologies. The synthesis concludes that an integrated, data-driven, and collaborative approach is the only sustainable path forward. Future research should focus on formally coupling these diagnostic models to create true Digital Twins of urban water systems—an essential step towards building resilient, water-secure cities for the 21st century.

Urban Science doi: 10.3390/urbansci10030174

Authors: Antonio Russo Tiziana Campisi Giovanni Tesoriere

Demand-responsive transport (DRT) services are increasingly recognised as an effective solution for enhancing accessibility, particularly in low-demand and peripheral areas. Existing scientific research has investigated DRT as a feeder service to modal interchange nodes, with a specific focus on railway hubs. In this study, an accessibility indicator is developed to compare direct road-based access to regional hubs with multimodal access combining road and rail, enabled by DRT services. The indicator is derived from a detailed analysis of road travel times and scheduled rail services and is applied within a regional-scale framework. Under the hypothesis that travel originates in the centre of each municipality in the area under consideration, two travel times are calculated: the time for the road alternative, based on the characteristics of the road network, and the time for the combined alternative, based on the attributes of the rail network. The resulting indicator allows for identification of the alternative that is more time-competitive for medium-distance travel on a regional scale and for mapping accessibility to attraction centres on a municipal basis. The methodology is applied to a case study in Sicily, Southern Italy. The analysis considers trips from all Sicilian municipalities to the metropolitan areas of Palermo, Catania, and Messina, assessing both the current situation and future scenarios based on planned railway infrastructure upgrades. The results indicate that, while direct road access remains the most efficient option for a large share of municipalities, the multimodal DRT–rail alternative becomes competitive in areas located near railway stations, particularly under scenarios that include major rail interventions, such as the upgrading and speed enhancement of the Palermo–Catania railway corridor.

Urban Science doi: 10.3390/urbansci10030173

Authors: Ziqian Gao Mike Hynes

Autonomous vehicle technology has rapidly advanced in recent years. Such technology is increasingly viewed not merely as a technical innovation but also as a social and behavioural transformation shaped by how these systems are interpreted, trusted, and integrated into everyday life. There are mounting expectations regarding its potential to improve traffic safety, enhance energy efficiency, reduce congestion, and support sustainable mobility; however, key questions remain about how different groups and communities experience autonomous mobility. This review synthesizes equity, governance, and sustainability dimensions as they appear within the existing corpus of AV user acceptance research. A structured review of research on autonomous vehicles (AVs) and user acceptance was conducted using an initial database search followed by iterative literature refinement and structured thematic coding. Using this approach, the review identifies key thematic patterns, highlights structural research gaps, and explores regional differences, offering a framework that supports subsequent comparative analysis. AVs have the potential to shape accessibility, social relations, and sustainable lifestyles. By integrating technological advancement with local governance, community practices, and social equity considerations, automated public transit may serve as a catalyst for sustainable and inclusive urban transformation.

Urban Science doi: 10.3390/urbansci10030172

Authors: Eugenijus Krikščiūnas Jaroslav Dvorak

Smart mobility is a vital part of a smart city. Autonomous public transport buses are becoming an increasingly noticeable and significant component of smart mobility. This study examines and compares trials of autonomous public transport buses in Baltic countries (Estonia, Latvia, and Lithuania). This research covers the period from 2017 to 2024 and is based on qualitative research methods: case studies, secondary source analysis, conventional content analysis, and comparative analysis. This study found that Estonia was the first among the Baltic countries to begin testing autonomous public transport buses and was the most active, conducting as many as 11 trials. Moreover, Estonia tested autonomous buses at the highest speeds and over the longest distances. Despite relatively promising trials, autonomous public transport buses have encountered certain challenges and disruptions in all three countries. These results suggest that the Baltic States still have room for improvement in the field of smart mobility and autonomous public transport.

Urban Science doi: 10.3390/urbansci10030171

Authors: Hjalte Jomo Danielsen Sørup Maria Castro Kasper Stener Hintz Rune Magnus Koktvedgaard Zeitzen Peter Thejll Quentin Paletta Mark R. Payne Inês Girão Ana Oliveira

The urban heat island effect is well recognized and has been quantified using ground observations within and outside urban areas. Earth Observation has further revealed small-scale local spatial differences, especially in urban surface temperatures, that have been shown to be highly correlated with differences in the urban fabric. However, surface temperatures do not directly translate to human-experienced temperatures, and hence high-resolution air temperature data is of high relevance. However, air temperature is not easily measured from space, and seldom do ground measurements allow for small-scale differences to be quantified to a satisfactory degree. In the present study, we assessed the added value of an air temperature product downscaled using machine learning compared to the high-resolution reanalysis model that formed its foundation. The downscaled product was developed using satellite data, local observations from privately owned weather stations, and high-resolution reanalysis. The comparison focused on Denmark’s four largest urban areas and examined the two data product’s ability to describe the urban heat island effect at the city scale as well as intra-city differences in air temperatures. Both data products show similar urban heat island effects at the city scale, while the downscaled product shows greater intra-city variance in air temperature, with patterns that are somewhat correlated with both urban density and urban green spaces. Generally, the downscaling product offers city planners a better data basis for evaluating where to prioritize contingency and mitigation measures within the urban space.

Urban Science doi: 10.3390/urbansci10030170

Authors: Claudio Fagarazzi Matteo Andaloro Giacomo Cappelli Nicola Marini Federico Olimpi Iacopo Bernetti

Urban parks are key components of metropolitan green infrastructure, contributing to residents’ well-being. However, perceptions of disorder and safety may substantially shape how these spaces are experienced, particularly during evening hours. This study investigates the structural relationships between perceived disorder, fear of crime, avoidance behaviors, perceived safety, and service satisfaction. The primary objective is to disentangle the pathways linking disorder perceptions to behavioral and perceptual outcomes using a Structural Equation Modeling (SEM) framework. A structured survey was administered to users of a large metropolitan urban park (N = 742). Latent constructs representing Perceived Disorder, Fear of Crime, Avoidance Behaviors, and Service Satisfaction were specified, controlling for Age and Gender. The SEM was estimated using robust methods for ordinal indicators. The measurement model demonstrated good reliability and validity. Results indicate that Perceived Disorder acts as a strong precursor to Fear of Crime. Fear of Crime emerged as a pivotal mediator, significantly increasing Avoidance Behaviors and strongly reducing Perceived Safety at night. Furthermore, significant demographic effects were observed: female users reported significantly higher levels of fear, while age showed a direct positive association with perceived safety. While disorder strongly impacted the emotional and behavioral dimensions (fear and avoidance), its direct link to Service Satisfaction was less prominent compared to safety perceptions. The findings suggest that the impact of disorder on the park experience is largely channeled through psychological mechanisms of fear. Integrated policies addressing social disorder and fear reduction are likely to be more effective than purely physical interventions to enhance safety perceptions and park usage.

Urban Science doi: 10.3390/urbansci10030169

Authors: Sowmya Balachandran Laura M. Keyes Jintak Kim Simon Andrew Sara Kuttler Aparajita Sengupta

Transportation-disadvantaged (TD) populations, including many older adults and people with disabilities, often face mobility barriers linked to fragmented transportation services, limited information about available ride options, and weak coordination across providers. While One-Call/One-Click (1C1C) systems have emerged as solutions to centralize transportation information, support trip planning, and coordinate services across public, nonprofit, and private actors, their capacity to scale remains limited. Using a mixed-methods design, this study examined the institutional arrangements, functional scope, and service scale of 67 operational 1C1C systems to identify systemic barriers to expanding coordinated service access. Quantitative analysis revealed substantial variation in governance, service configurations, costs, and coverage relative to conservative population-based benchmarks, with most systems operating at limited scale. Qualitative interviews with system administrators provide explanatory insight into these patterns, identifying three recurring institutional constraints: funding instability, limited capacity for technology and data integration, and shallow vendor networks for specialized transportation services. The findings indicate that limits to 1C1C performance are rooted in institutional and financial conditions rather than system design. Situating coordinated transportation within the Age-Friendly Cities framework, the study argues that mobility coordination must be treated as durable public infrastructure if equitable, age-friendly mobility is to be achieved at scale.

Urban Science doi: 10.3390/urbansci10030168

Authors: Genan Dai Zitao Guo Bowen Zhang Xianghua Fu Li Dong Jinzhou Cao Hu Huang

Learning transferable region embeddings is a fundamental problem in urban computing, as such representations support a wide range of downstream prediction tasks. Existing methods leverage multi-view and multimodal urban data but often fail to explicitly model spatial relations across views or effectively align general region embeddings with task-specific objectives. In this paper, we propose a spatial-aware Transformer (RE-SAT) network with semantic-guided prompting for urban region embedding. RE-SAT adopts a two-stage learning paradigm. In the first stage, a spatial-aware Transformer encoder injects connectivity and distance-based spatial priors into the attention mechanism to learn task-agnostic region embeddings from multi-view urban data. In the second stage, RE-SAT adapts the learned embeddings to downstream tasks via a semantic-guided prompt learning mechanism, which generates task-aware soft prompts from textual task descriptions without modifying the universal embeddings. Extensive experiments on multiple urban prediction tasks across different cities demonstrate that RE-SAT consistently outperforms state-of-the-art methods, achieving maximum relative improvements of 12.2% in MAE, 12.2% in RMSE, and 6.7% in R2, validating its effectiveness and generalizability. Consequently, this framework serves as a robust decision-support tool for urban planners and policymakers, facilitating efficient resource allocation and intelligent city management across diverse scenarios.

Urban Science doi: 10.3390/urbansci10030167

Authors: Khoren Mkhitaryan Gagik Aslanyan Anna Sanamyan Armenuhi Ordyan Hayk Harutyunyan

Digital transformation of municipal public services remains uneven in transition economies, while national e-government indices often obscure substantial disparities across cities. This study develops a composite E-Government Maturity and Performance Index (EGMPI) to evaluate eleven Armenian municipalities across four governance dimensions: digital service availability, administrative efficiency, transparency and accountability, and citizen interaction and participation. Using publicly available data for Q1 2024, the analysis reveals pronounced metropolitan concentration, with large cities significantly outperforming smaller municipalities. Although performance correlates with population size and fiscal capacity, institutional and managerial factors strongly mediate outcomes, as comparable municipalities display substantial differences in service maturity. Results further show that local governments tend to prioritize transparency measures over functional efficiency, indicating symbolic digitalization rather than substantive service transformation. Unlike national e-government indices, this study provides a city-level diagnostic framework enabling intra-country performance comparison and actionable municipal policy design. Based on the findings, a multi-level policy roadmap is proposed, including shared national platforms, regional digital hubs, targeted capacity building, and leapfrogging strategies for low-maturity cities. The proposed governance-oriented framework offers a replicable tool for transition economies and demonstrates that effective digital transformation depends primarily on institutional coordination and citizen-centric management rather than financial resources alone.

Urban Science doi: 10.3390/urbansci10030165

Authors: Jianjun Yang Gula Tang

Intra-urban commuting plays a fundamental role in shaping urban spatial structure and daily mobility patterns. Existing studies have largely explained commuting flows using attribute-based or distance-centred approaches. Such approaches overlook the interdependent and relational nature of commuting within complex urban systems. This study constructs a subdistrict-level commuting network using anonymised mobile phone signalling data from Hangzhou, China, and a valued exponential random graph model (valued ERGM) to examine how commuting flows are generated through the interaction of network self-organization, local job-housing conditions, and multi-dimensional proximity. The results reveal strong endogenous dependence exemplified by reciprocal commuting ties. Employment agglomeration and public rental housing provision are associated with stronger integration of subdistricts within the commuting network, while high housing prices and certain residential amenities are associated with reduced inter-subdistrict commuting. Beyond geographic distance, metro connectivity, administrative affiliation, and social interaction are significantly associated with commuting flows. This study advances a relational explanation of intra-urban commuting and demonstrates the methodological value of valued ERGMs for analysing weighted urban flow networks. The findings have implications for integrated transport, housing, and governance strategies, particularly transit-oriented development, cross-jurisdictional coordination, and the strategic siting of affordable housing, aimed at promoting more locally embedded and sustainable urban mobility.

Urban Science doi: 10.3390/urbansci10030166

Authors: Marat Urdabayev Ivan Digel Anel Kireyeva Akan Nurbatsin Kuralay Nurgaliyeva

Although smart-city benchmarking has produced many indices and rankings, cities still lack a practical way to assess whether successful initiatives can be transferred across institutional contexts and converted into implementable urban roadmaps. In this study, we aimed to develop and empirically test a paired donor–recipient “problem–solution” methodology that bridges comparative city analysis with implementation readiness gap assessment, addressing the persistent disconnect between smart-city benchmarking and actionable transfer guidance. The smart-city ecosystem was decomposed into eight functional dimensions covering digital foundations, service platforms, finance and procurement, innovation capacity, governance, legal adaptability, and citizen participation. The method was applied to the Ottawa-Astana pair using a systematic desk-based analysis of publicly available strategic documents, legislation and policy frameworks, and implementation materials (e.g., roadmaps, program guidelines, departmental plans, and monitoring outputs). Data were analyzed using a structured gap analysis algorithm employing a three-level qualitative compliance scale (Full Compliance, Partial Compliance, and Non-compliance) to assess recipient city status against donor benchmarks across all eight functional dimensions. The results reveal Astana’s partial compliance with the Ottawa benchmark, with moderate readiness and pronounced “hard-soft” asymmetry; that is, greater progress in regard to infrastructure and platforms, but persistent gaps in adaptive regulation, experimentation-friendly legal instruments, and participatory governance. These findings suggest that progressing toward a Smart City 2.0 model requires prioritizing regulatory sandboxes, adaptive procurement pathways for pilots, and scalable civic-tech mechanisms alongside continued investment in talent and innovation ecosystems—understood here as interconnected networks of universities, technology parks, civic-tech communities, and incubation infrastructure that collectively sustain capacity for technology absorption and local adaptation. The proposed paired framework is replicable and supports phased, actionable transfer roadmaps for policymakers.

Urban Science doi: 10.3390/urbansci10030164

Authors: Ch. Paramaiah Shaik Kamruddin Phani Kumar Katuri Venkateswarlu Nalluri V. V. Ajith Kumar Jing-Rong Chang Anitha Bhimavarapu

This research is an analysis of the relationship between sustainable urbanization and economic inequality through smart city initiatives in developing countries such as India. Rapid urbanization in developing countries tends to have a detrimental impact on socioeconomic inequalities, and the effort to build smart cities may inadvertently increase exclusion when it is not planned with inclusiveness in mind. To reach this goal, an integrated Multi-Criteria Decision-Making (MCDM) approach using a combination of AHP, TOPSIS, and DEMATEL is adopted to systematically identify, assess, and identify the key criteria that affect the inclusive urban development. This study’s results show that infrastructure, governance, digital accessibility, and social inclusion play a key role in mitigating urban disparities and facilitating sustainable development. In particular, good governance and the availability of equitable digital infrastructure appear to be one of the critical factors in the reduction in inequalities and long-term urban resilience. This research provides policy-oriented insights for policymakers in designing inclusive smart city policies in accordance with the Sustainable Development Goals, as well as theoretical contributions to urban sustainability research.

Urban Science doi: 10.3390/urbansci10030163

Authors: Shuhan Yang Wei Song Yang Li Shuju Hu

Urban network externalities have emerged as a novel impetus for regional economic growth. However, the extent to which inter-urban network connections promote regional economic growth and the associated spatiotemporal heterogeneity remain underexplored. This study constructs a multi-dimensional urban network framework from the perspectives of enterprise linkages, infrastructure connectivity, and innovation collaborations, capturing the multifaceted nature of intercity relationships and their critical role in shaping regional development. Utilizing the Cobb–Douglas production function and the spatial Durbin model, the study quantitatively assesses the impact of urban network externalities on economic growth and examines the spatiotemporal heterogeneity of these impacts. The main findings are as follows: Urban network externalities generally exert a positive influence on regional economic growth, yet this effect exhibits significant regional and city-size heterogeneity. Regions with more developed networks experience stronger growth effects from these externalities. Moreover, large cities benefit more substantially from network integration compared to small and medium-sized cities. Spatial decomposition of effects further reveals that urban network externalities promote economic growth through both local direct effects and spillover effects to neighboring areas. Approximately 70% of the economic growth contribution originates from direct effects within the region, while nearly 30% stems from spillover effects from adjacent regions. Additionally, the spatial spillover effects display clear distance decay, following an inverted U-shaped pattern with a bimodal distribution. Significant spillover effects are observed within 380 km, peaking at 180 km and 340 km.

Urban Science doi: 10.3390/urbansci10030162

Authors: Abdulkarim K. Alhowaish

The circular economy (CE) has emerged as a central policy framework for advancing sustainable urban development; however, empirical evidence regarding the role of micro, small, and medium-sized enterprises (MSMEs) in metropolitan CE transitions remains limited, particularly in arid regions. This study examines how private sector firms and MSMEs engage with CE practices within an arid metropolitan context, using the Dammam Metropolitan Area (Saudi Arabia) as an illustrative case study. Adopting a place-based and governance-sensitive analytical perspective grounded in urban studies scholarship, the research employs a structured quantitative survey of 180 firms across key urban–industrial sectors. The analysis investigates levels of CE awareness, adoption patterns, perceived barriers, support needs, and future expectations. The findings indicate that MSMEs primarily engage in resource-based and efficiency-oriented circular practices, while more systemic models, such as supply-chain integration and platform-based circular solutions, remain limited. Moreover, capability-related factors, particularly skills and technological capacity, exert a stronger influence on adoption than awareness alone. Importantly, the study identifies a high level of latent willingness among MSMEs to invest in circular practices under supportive policy and institutional conditions. The discussion reframes CE transitions as governance-mediated urban development processes, emphasizing the importance of metropolitan coordination, institutional capacity-building, and shared spatial infrastructure. By grounding the analysis in the case of the Dammam Metropolitan Area, the study contributes to urban studies and CE scholarship by positioning MSMEs as conditionally willing system-building actors whose engagement is essential for advancing inclusive and place-sensitive circular transitions in arid metropolitan regions.

Urban Science doi: 10.3390/urbansci10030161

Authors: Silvino Capitão Luís Picado-Santos Arminda Almeida Josué Cardoso Eliana Soldado Fernando C. G. Martinho

Forest waste is globally abundant and holds significant potential for valorisation in various sectors. This paper investigates its use in urban road infrastructures, utilising enzymatic lignin, a by-product from forest waste bioethanol production, as a bitumen extender for warm-mix asphalt. Since this asphalt concrete is produced at about 40 °C below the traditional hot-mix asphalt temperature, this study evaluates lignin’s ability to ensure the required mechanical performance of asphalt concrete in both aged and non-aged states. The TEAGE—TEcnico accelerated AGEing device—applied UV radiation and wet/dry cycles to virgin bitumen, a lignin blend, and compacted asphalt concrete specimens to replicate urban weathering. Cylindrical specimens underwent indirect tensile tests to assess water sensitivity, while beam samples underwent four-point bending tests to evaluate stiffness and fatigue resistance. The results indicate that this warm-mix asphalt, with lower atmospheric emissions during manufacturing and pavement construction, meets the mechanical demands of urban roads, particularly with respect to fatigue and water resistance. However, the findings also show that asphalt concrete containing lignin experiences excessive ageing of small specimens, and further testing on compacted slabs is needed to better simulate exposure to UV radiation in pavement layers. Overall, the study concludes that lignin lowers asphalt production temperatures and partially substitutes conventional binders, with promising applications in urban pavement technologies.

Urban Science doi: 10.3390/urbansci10030160

Authors: Regiane Santana da Conceição Ferreira Cabanha Paulo Renato Espindola Elaine Silva de Pádua Melo Marta Aratuza Pereira Ancel Amanda Lucy Farias de Oliveira Ana Carla Pinheiro Lima Diego Azevedo Zoccal Garcia Rita de Cássia Avellaneda Guimarães Karine de Cássia Freitas Marcelo Luiz Brandão Vilela Valter Aragão do Nascimento

Urban and peri-urban river systems subjected to intensive agriculture are vulnerable to diffuse metal(loid) inputs, yet the integration of hydrological compartments, bioindicators, and human health risk remains poorly explored. This study investigated the seasonal dynamics, bioaccumulation patterns, and potential human health risks associated with metal(loid)s in the Santa Virgem River (Brazil–Paraguay border), using water from backwater zones and three plant groups (Apiaceae angiosperms, mosses, and the liverwort Dumortiera sp.). Water and plant samples were collected during five seasonal campaigns (2019–2020) and analyzed by ICP OES. Multivariate analysis (PCA) was applied, and biological accumulation coefficients (BAC) and chronic daily intake (CDI) were estimated for adults and children under different ingestion scenarios. Results showed that Mg, Fe, K, S, and P dominated water chemistry, while As, Cd, Cr, Cu, Pb, and Se were mostly below detection limits. PCA explained 77.6% of total variance, distinguishing agricultural and hydrological phases. Bryophytes exhibited markedly higher BAC values, particularly for Mn (up to 2.3 × 105) and Fe, compared with Apiaceae. CDI and hazard assessment indicated negligible non-carcinogenic risk for most elements (HQ < 1), except phosphorus, which dominated the Hazard Index due to its low reference dose. Overall, the results demonstrate that hydrodynamic conditions and plant functional traits jointly control metal(loid) dynamics, highlighting the value of multispecies biomonitoring in peri-urban river systems.

Urban Science doi: 10.3390/urbansci10030159

Authors: Cuicui Feng Siqi Li Xuhui He Cheng Xue Guanqiong Ye

Global environmental issues are becoming increasingly severe, with climate change imposing varying degrees of economic impact on different cities. It is crucial for cities to pursue efficient, low-carbon, and sustainable development pathways to cope with climate change. Carbon emission efficiency (CEE) is an essential indicator for assessing their performance and progress toward low-carbon growth. However, traditional CEE assessments have yet to integrate regional differences in the socioeconomic costs of climate change. To fill this gap, we have built a combined efficient frontier Data Envelopment Analysis (DEA) model based on the weighted carbon emissions of each city’s climate costs to evaluate the CEEs of 252 cities in China from 2006 to 2021. Meanwhile, city classification and spatial Markov chains are used for spatio-temporal heterogeneity analysis, and finally, the efficiency is decomposed to determine the impact of different factors on carbon efficiency. The results indicate that the average CEE of coastal cities (0.57) is lower than that of inland cities (0.63), mainly due to higher climate costs and unbalanced development. In contrast, megacities and super-large cities in coastal areas have the highest CEE levels because of economies of scale and technological advantages. Efficiency decomposition shows that pure technical efficiency (PTE) is the primary driver of CEE differences, contributing 33.37% to inefficiency differences. Our findings emphasize the need for targeted, differentiated policies to address unique urban challenges. Green technology investments should be prioritized in areas with high emission reduction potential, while cross-regional technology diffusion mechanisms should be established in areas with medium reduction potential to foster innovation. Overall, this study could offer valuable insights into the sustainable and low-carbon transition of urban development.

Urban Science doi: 10.3390/urbansci10030158

Authors: Abdulkarim K. Alhowaish

Artificial intelligence (AI) is increasingly embedded in smart city strategies, yet its role in advancing participatory urban planning remains underexamined, particularly in rapidly urbanizing metropolitan contexts of the Global South. This exploratory, governance-centered study investigates how AI can support participatory urban planning for sustainable smart cities, emphasizing institutional mediation and trust dynamics. Using a convergent mixed-methods design, the research combines a purposive stakeholder survey (n = 260) with qualitative thematic analysis to assess AI awareness and use, participation quality, institutional and technical readiness, and public trust in the Dammam Metropolitan Area, Saudi Arabia. The findings reveal a participation paradox: relatively high AI awareness and digital readiness coexist with low perceived influence and limited confidence in participatory outcomes. Institutional coordination gaps, skill constraints, and regulatory ambiguity mediate the translation of AI adoption into meaningful engagement. Stakeholders favor AI applications, such as interactive mapping, predictive analytics, and digital twin visualization, that enhance transparency and deliberation over automated decision systems. Qualitative evidence further indicates that AI is perceived not as a standalone solution, but as a catalyst for institutional reform, capacity development, and sustainability-oriented governance. The study contributes to urban science by empirically validating a socio-technical framework that positions AI as a facilitative governance instrument embedded within institutional and trust-building processes. The findings offer policy-relevant insights for cities seeking to align AI-driven innovation with inclusive, accountable, and sustainable urban development.

Urban Science doi: 10.3390/urbansci10030156

Authors: Yinghua Deng Xin Lu

Urban waterlogging has become a critical challenge to urban sustainability under the combined pressures of rapid urbanization and increasingly frequent extreme weather events. However, traditional predictive models struggle to achieve real-time, point-specific early warning effectively, primarily due to the interference of redundant high-dimensional data and the inability to handle severe data imbalance. This study proposes a lightweight and interpretable machine learning framework for real-time waterlogging hotspot prediction, based on a multi-dimensional feature space. Specifically, we implement a Lasso-based mechanism to distill 37 multi-source variables into five core determinants. This process effectively isolates dominant environmental drivers while filtering noise. To further overcome the recall bottleneck, we propose a Synthetic Minority Over-sampling Technique based on Weighted Distance and Cleaning (SMOTE-WDC) algorithm that incorporates weighted feature distances and density-based noise cleaning. Validating the framework on datasets from Shenzhen (2023–2024), we demonstrate that the integrated Gradient Boosting Decision Tree (GBDT) model integrated with this strategy achieves optimal performance using only five features, yielding an F1-score of 0.808 and an Area Under the Precision-Recall Curve (AUC-PR) of 0.895. Notably, a Recall of 0.882 is attained, representing a 4.6% improvement over the baseline. This study contributes a cost-effective, high-sensitivity approach to disaster risk reduction, advancing predictive urban waterlogging management.

Urban Science doi: 10.3390/urbansci10030157

Authors: Amal H. Aljaddani

Since 2025, 45% of the world’s population of 8.2 billion people has lived in cities, and by 2050, that number is expected to increase to 66%. As the number of people living in cities increases, natural landscapes will be transformed into impervious surfaces, leading to serious challenges and resulting in a phenomenon named the urban heat island (UHI) effect. Although urban thermal variation has been studied globally, few studies have examined the impact of land use transitions on local surface temperatures. This study aims to address this gap by investigating the impact of LULC transitions on the land surface temperature (LST) and the urban thermal field variation index (UTFVI) in the five most populated cities in Saudi Arabia between 2000 and 2024: Riyadh, Jeddah, Makkah, Madinah, and Dammam. This study provides not only a comprehensive overview of the cities in Saudi Arabia but also a detailed analysis of each city using a novel approach that integrates thermal land use analysis. In this study, Landsat TM-5, OLI-TIRS-8, and OLI2-TIRS2-9 were used to process the LULC using random forest machine learning and thermal indices. Fifteen LULC maps were generated and assessed based on four classifications across the cities and time periods: urban area, barren land, vegetation, and water. The difference-in-difference (DiD) analytical approach was used to compute the thermal effect size and compare the specified changed pixels (barren-to-urban, vegetation-to-urban) with stable urban. Then, the relationship between the LST and the NDVI–NDBI were investigated. The results show that the overall accuracy of the 15 LULC classifications ranged from 89.00% to 97.00%. The urban area increased across all the cities, with the greatest changes being 448.84, 179.67, 177.96, 126.33, and 95.69 km2 in Riyadh, Jeddah, Dammam, Madinah, and Makkah, respectively. Furthermore, the vegetation cover increased in most of the cities over time. The LST of the urban areas increased by 8.31 °C in Riyadh, 5.24 °C in Jeddah, and 1.41 °C in Makkah in 2024 compared to 2000, while those in Dammam and Madinah decreased by 2.67 °C and 0.60 °C, respectively. This study delivers robust insights into two decades of urban surface temperature dynamics across major Saudi Arabian cities, offering critical evidence to inform UHI mitigation strategies and support the long-term sustainability of urban environments.